In this role, you will protect Cummins' technology environment by applying cybersecurity policies, data privacy principles, and security best practices to reduce organisational risk. You will lead cybersecurity risk assessments, identify potential vulnerabilities, and ensure effective mitigation strategies are developed and implemented.

As a trusted advisor to business and technology stakeholders, you will provide expert guidance on secure technology solutions and risk-informed decision-making. You will apply industry-leading frameworks and standards such as NIST, ISO, ITIL, and COBIT to strengthen security controls and support regulatory compliance.

Key responsibilities include:

• Leading cybersecurity risk assessments and identifying potential vulnerabilities
• Developing and implementing effective mitigation strategies
• Providing expert guidance on secure technology solutions and risk-informed decision-making
• Applying industry-leading frameworks and standards to strengthen security controls
• Partnering with cross-functional teams to evaluate new and changing technology solutions
• Coaching, mentoring, and developing less experienced team members

To be successful in this role, you will need:

• A college, university, or equivalent degree in Cybersecurity, Computer Science, or Information Technology, or a related subject
• Intermediate level of relevant work experience (3-5 years)
• Experience in cybersecurity operations, cloud security, security engineering, offensive security, or related technical security disciplines
• OCSP or equivalent certification holder or willingness to obtain
• Familiarity with cloud platforms such as AWS, Azure, OCI, and associated security concepts
• Understanding of common attacker tactics, techniques, and procedures (TTPs) and frameworks such as MITRE ATT&CK
• Exposure to scripting or automation using languages such as Python, PowerShell, or Bash

Benefits and perks may include:

• Opportunities for professional growth and development
• Collaborative and dynamic work environment

This is a 100% on-site role.

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Responsibilities:

• Take end-to-end ownership of customer issues, including initial troubleshooting, identification of root cause, and issue resolution.
• Meet or exceed customer expectations on response quality, timeliness of responses, and overall customer experience.
• Provide technical support and best practice guidance to help customers integrate, deploy, and maintain Okta's suite of products.
• Serve as an internal and external point of contact on customer matters and ensure customer issues are resolved as expediently as possible.
• Collect information and document bugs with Engineering for product issues that are impacting customers.
• Function as a subject matter expert within support for Okta's suite of products.
• Contribute to and maintain repository of knowledge within support and promote a culture of team knowledge share and collaboration.
• Stay up to date on emerging technologies, industry trends, and best practices around directory solutions and Okta's interlock with them.
• Push creative thinking beyond existing industry-standard practices to come up with process improvements and new ways to delight customers.

Requirements:

• 5+ years of customer support, technical support, system administration, or related customer-facing role.
• BA/BS/MS in Computer Science, Management Information Systems, or related discipline, or relevant professional experience.
• Familiarity with networking at OSI Model Layers 3-7, and troubleshooting through use of appropriate tools.
• Basic ability troubleshooting common protocols and services for cloud-based services.
• Familiarity with various Multi-factor authentication (MFA) technologies.
• Familiarity with federation/SSO technologies and applications.
• Familiarity with products and services used in a zero-trust modelled environment.
• Experience working with RESTful services via APIs with appropriate tools.
• Basic knowledge with Powershell/cmd, Bash, and common command-line tools.
• Certifications such as Network+, Security+, Cisco CCNA, CISSP.
• Experience with configuring enterprise applications in cloud and on-prem environments.
• Experience with troubleshooting desktop applications across Windows, Mac OS, and Linux.
• Familiarity with cloud-based directory services.
• Familiarity with Active Directory in on-premise environments.
• Excellent relationship management, customer service, and communication skills.
• Ability to work independently with little direct supervision and as a part of a team.

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What You'll Do:

Our Data Center Operations team is at the physical core of our business, responsible for building, maintaining, and operating the cutting-edge infrastructure that powers the cloud. This team ensures the stability, security, and scalability of our physical assets, working hands-on in a fast-paced, hyper-growth environment. You will join a collaborative and curious group that is essential to delivering a best-in-class experience for our clients.

About the role:

The Data Center Technician will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations. This position involves hardware and network diagnostics, followed by physical repair, and may include participation in an on-call rotation. This is a salaried, 100% onsite role at one of our Data Center locations.

Responsibilities:

• Maintain data center operations to ensure service availability and reliability.
• Conduct hardware and network diagnostics and repairs.
• Perform root cause analysis of hardware and software failures.
• Train internal teams.
• Develop documentation.
• Provide technical support to data center teams.
• Develop scripts to update server and networking hardware.
• Maintain inventory.
• Assemble and install equipment.
• Perform maintenance of test and tool equipment.
• Travel up to 10% of the time to other data center locations as required by business needs.
• Respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call.

Who You Are:

• Experience with computer hardware, including troubleshooting and assembling.
• Linux Operating System experience.
• Ability to regularly transport and position equipment weighing up to 50 lbs.
• Ability to remain in a stationary position for extended periods to perform diagnostic and repair tasks.
• Ability to maneuver in cramped or elevated spaces.
• Ability to perform tasks requiring fine motor skills.
• Availability to work a flexible schedule within a 24/7 environment, including participating in a rotating on-call shift.
• Excellent time management, organizational, and communication skills.
• Must be able to prioritize tasks and react quickly to issues.
• Work is primarily performed in a climate-controlled data center with fluctuating temperatures.

Preferred:

• Hands-on or education-based experience with computer hardware, data center operations, computer networking, Python, Bash, or other scripting languages, Cisco IOS, Juniper JunOS, or an Associate's Degree or equivalent experience in an IT-related field.

Why Us?

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth. Our team cares deeply about how we build our product and how we work together. We support and encourage an entrepreneurial outlook and independent thinking.

What We Offer

• Base salary range: $65,000 to $83,000.
• Comprehensive benefits program, including medical, dental, and vision insurance, company-paid life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible childcare support, 401(k) with a generous employer match, flexible PTO, catered lunch, and a casual work environment.

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Key Responsibilities

Test Automation & System Quality

• Design, implement, and maintain scalable test automation frameworks for both server- and client-side systems using Java, TestNG, JUnit, and Selenium.
• Develop and execute comprehensive end-to-end and system test plans to validate new software changes against existing customer deployment patterns.
• Set up and manage automated test configurations, lab environments, and containerized test setups using Docker.
• Perform release-based validation, ensuring full compatibility, high availability, and uptime across weekly deployment cycles.

CI/CD Pipeline Maintenance & Optimization

• Troubleshoot, debug, and optimize CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, Buildkite) to reduce test execution times and eliminate flaky builds.
• Manage and optimize Maven-based build structures, dependency management, and automated release workflows.
• Write operational automation scripts using Python, Bash, or Groovy to automate internal infrastructure and test maintenance tasks.

Observability, Monitoring & Infrastructure

• Analyze application logs and system observability metrics using tools like Splunk, Sumologic, Kibana, or ELK to identify, isolate, and debug failures.
• Utilize SQL to query databases and validate complex, integrated backend scenarios.
• Provide occasional on-call support and debug assistance to partner teams in North America to ensure smooth global engineering alignment.

Key Requirements

• Experience: 5 years of hands-on experience as a Quality Engineer or Software Engineer with a focus on SaaS products and release-based testing.
• Automation & Coding: 4+ years of Java-based test development (Selenium, TestNG, JUnit) and scripting proficiency in Python, Bash, or Groovy.
• CI/CD & DevOps: Demonstrated expertise in maintaining and debugging CI/CD pipelines, dependency management (Maven), and containerization platforms (Docker).
• Database & Data Querying: 4+ years of experience writing SQL queries to perform data verification and system integration testing.
• Observability: Strong experience leveraging monitoring tools (Splunk, Kibana, SumoLogic) to parse logs and trace test failures.
• Education: B.S. or M.S. in Computer Science, Computer Engineering, Software Engineering, or a closely related technical field.

Preferred Qualifications

• Hands-on experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (Terraform, Ansible).
• Familiarity with Kubernetes, mobile testing platforms (e.g., Bitbar, Appium), or machine learning-driven test tools.
• Exposure to performance or security testing within CI pipelines.

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Responsibilities:

• Design, implement, and maintain Yocto/OpenEmbedded build systems for automotive and embedded Linux platforms.
• Create and optimize layer stacks, recipes, machine configurations, distro policies, and image definitions for production targets.
• Develop and maintain BSP integrations, SDK generation, and cross-toolchain setups for multiple hardware architectures and target boards.
• Collaborate with stakeholders to gather requirements and translate them into scalable embedded build system improvements that support quality, security, and delivery speed.
• Drive architectural decisions for build reproducibility, layered customization, dependency management, and image composition strategies.
• Develop and maintain automation tools, scripts, and internal build frameworks to streamline image builds, testing, and release workflows.
• Manage build infrastructure, including local and CI-based Yocto builds, sstate caching, shared downloads, and artifact retention strategies.
• Implement security practices for embedded builds, including signed artifacts, vulnerability scanning, SBOM generation, and compliance with manufacturing requirements.
• Ensure compliance with automotive industry standards and regulatory requirements while supporting embedded software development across multiple target platforms.
• Document build architecture, layer structure, image definitions, and operational procedures for engineering teams and release stakeholders.
• Provide support for build-related incidents, performance issues, recipe failures, and release blockers across development and validation environments.
• Establish build metrics, KPIs, and dashboards to monitor build health, throughput, and developer productivity.
• Optimize Yocto build performance through layer cleanup, incremental build tuning, cache strategy adjustments, and dependency pruning.
• Work with third-party vendors, silicon partners, and platform teams to integrate BSPs, toolchains, and software modules into the release pipeline.
• Drive adoption of Yocto best practices across development teams and mentor engineers on embedded Linux build workflows, automation, and debugging.
• Provide technical leadership as a senior IC, helping shape the roadmap for embedded Linux build infrastructure, toolchain evolution, and software delivery.

Qualifications:

• Bachelor's degree in Computer Science, STEM, or equivalent professional experience.
• 5+ years of hands-on experience with Yocto Project and OpenEmbedded build systems.
• Strong experience developing and maintaining layers, recipes, machine files, distro configurations, and image builds for Linux-based embedded systems.
• Expert-level understanding of Git and version control strategies, including branching, release management, and layered software integration.
• Deep knowledge of Linux internals, cross-compilation, toolchains, and embedded software packaging workflows.
• Experience with C/C++ development and toolchain customization for embedded systems.
• Scripting experience in Python and Bash.
• Experience with containerization technologies and tools such as Docker, Podman, and Buildah.
• Strong understanding of build security practices, artifact signing, reproducibility, and vulnerability scanning for embedded systems.
• Experience with build performance optimization, observability, and metrics collection for large-scale Yocto environments.

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

Salary: $138,800 - $232,700

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The role involves partnering with hardware engineering teams to determine coverage needs and constraints, defining requirements for software and board teams to support test infrastructure, and co-designing testability scope and coverage enhancements for NVIDIA's manufacturing testing.

Key responsibilities include:

• Partnering with HW engineering teams to determine coverage needs and constraints
• Defining requirements for SW and board teams to support test infrastructure
• Co-designing testability scope and coverage enhancements for NVIDIA's manufacturing testing
• Prototyping and fine-tuning speed, power, performance, yield, and quality on pre-production silicon
• Co-designing, developing, and maintaining system-level testing flows
• Defining procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic programs
• Supporting customer-facing and quality teams during customer escalations
• Creating key performance indicators to evaluate the effectiveness of new tests
• Initiating and driving process improvements and preventative actions

Requirements:

• Bachelor's or Master's Degree in Microelectronics/Electrical/Electronic/Computer Engineering or equivalent experience
• 8+ years of relevant industry experience
• Strong EE fundamentals, knowledge of digital design, signal integrity, statistics, timing analysis, fault analysis, sampling, and computer architecture
• Strong data analysis skills and prior experience working with volume data
• Validated hands-on lab experience with silicon bring-up and lab debug
• Good understanding of firmware/driver structures and their interaction with HW
• Problem-solving, debugging, analysis, and logical reasoning skills
• Experience with Python, BASH, Linux

The base salary range for this position is $168,000 - $264,500 for Level 4 and $196,000 - $310,500 for Level 5.

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As a Staff Systems Development Engineer (GovOps), you will join our Cleared Engineering team in McLean, VA, serving as a technical authority for our platform across GovCloud, FedRAMP High, and air-gapped environments. You will operate as a technical force multiplier, architecting long-term system stability, driving fleet-wide supportability features, and eliminating systemic operational bottlenecks.

Key responsibilities:

• Architect High-Side Platform Reliability: Design end-to-end operational workarounds and resolve complex escalations within air-gapped and GovCloud enclaves.
• Bridge Engineering Boundaries: Act as the lead technical interface and escort between uncleared core engineering teams and secure facilities.
• Drive Fleet-Wide Supportability & Tooling: Author custom diagnostic tools, notebooks, and automated workflows to raise operational efficiency.
• Partner with Core Engineering: Collaborate with Product and Core Engineering leaders to root-cause platform defects and integrate long-term supportability features.
• Lead Critical Incident Response: Anchor high-consequence platform incidents and make authoritative technical calls.
• Uphold & Evolve Compliance Guardrails: Ensure platform interactions and deployment pipelines align with FedRAMP High, ITAR/IL5, and federal security benchmarks.

Requirements:

• Active TS/SCI security clearance.
• Bachelor’s degree in Computer Science, Systems Engineering, Mathematics, or equivalent practical experience.
• 7+ years of experience in Systems Engineering, Cloud Infrastructure, Senior Support Engineering, DevSecOps, or a related technical operations role.
• Deep expertise in Linux/Unix operating-system internals, networking, process/resource debugging, and distributed systems.
• Hands-on proficiency in Python, Bash, Go, or Java.
• Experience managing, debugging, and operating cloud infrastructure across public or federal cloud boundaries.
• Solid working knowledge of Infrastructure-as-Code (IaC) tools and container orchestration mechanics.

Preferred qualifications:

• Active Counterintelligence (CI) or Full Scope Polygraph (FSP).
• Prior experience supporting AWS Worldwide Public Sector (WWPS), isolated defense integration networks, or FedRAMP High / ITAR environments.
• Hands-on experience operating inside low-egress or fully air-gapped networks.

The pay range for this role is $153,400-$210,825 USD.

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We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Role

As enterprise data enclaves and Generative AI applications become mission-critical to national security and public sector modernization, maintaining the reliability and operational integrity of the underlying platform is paramount.

Databricks is seeking a Senior Support Engineer (GovOps) to join our Cleared Engineering team in McLean, VA.

Responsibilities:

• Drive High-Side Platform Reliability: Serve as the technical authority for resolving the most complex platform escalations across Compute, Networking, Storage, and OS domains within air-gapped and GovCloud enclaves.
• Partner with Core Engineering: Triage system defects, perform root-cause analysis, and collaborate directly with product engineering teams to drive permanent software bug fixes and fleet-wide supportability enhancements.
• Execute Advanced Automation & Tooling: Write and adapt custom Python, Bash, or Go scripts and diagnostic tools to automate platform triage and streamline operational recovery inside restricted boundaries.
• Manage Critical Incidents: Lead technical triage and live incident response during high-consequence platform events, maintaining composure and clear stakeholder communications under intense pressure.
• Optimize Secure Environment Pipelines: Identify systemic environment blocks, diagnose patch deployment failures, and review Infrastructure-as-Code (IaC) configurations to ensure seamless platform operations.
• Uphold Federal Guardrails: Navigate evolving secure facility (SCIF) operational frameworks, ensuring all platform interventions strictly align with FedRAMP High, ITAR/IL5, and federal security compliance standards.

Requirements:

• Active TS/SCI security clearance.
• Bachelor’s degree in Computer Science, Systems Engineering, Mathematics, or equivalent practical experience.
• 5+ years of experience in Systems Engineering, Cloud Infrastructure, Senior Support Engineering, DevSecOps, or a related technical operations role.
• Deep expertise in Linux/Unix operating-system internals, networking, process/resource debugging, and distributed systems.
• Hands-on proficiency in Python, Bash, Go, or Java with the ability to read source code, debug software defects, and write custom diagnostic scripts.
• Proven experience managing, debugging, and operating cloud infrastructure across public or federal cloud boundaries (AWS GovCloud, Azure Government, or GCP).
• Solid working knowledge of Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation, along with container orchestration mechanics (Docker/Kubernetes).
• 3+ years of experience writing clear, succinct written and verbal technical communications, including technical status reports, incident summaries, or cross-team escalations.
• Ability to work on-site out of our McLean, VA secure facility (SCIF), including participation in an on-call rotation for critical incidents.

Preferred Qualifications:

• Active Counterintelligence (CI) or Full Scope Polygraph (FSP).
• Prior experience supporting AWS World Wide Public Sector (WWPS), isolated defense integration networks, or FedRAMP High / ITAR environments.
• Hands-on experience operating inside low-egress or fully air-gapped networks where standard external diagnostics are restricted.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices.

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range $130,200-$178,950 USD

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You will work alongside a small infrastructure team responsible for designing, hardening and operating networks accredited under the Australian Government’s Protective Security Policy Framework (PSPF) and the ASD Information Security Manual (ISM).

The ideal candidate has hands-on experience with security platforms spanning endpoint protection, SIEM, vulnerability management, identity and access management, and privileged access management.

Responsibilities

• Own and operate security tooling across Australian and corporate networks, including deployment, configuration, tuning, patching and lifecycle management.
• Administer and mature the Australian network’s security stack, including application whitelisting, SIEM, vulnerability scanning, endpoint antivirus and privileged access management.
• Support corporate network security platforms, including endpoint detection and response, identity and access management, privileged access management, and device trust and compliance.
• Drive Essential Eight maturity uplift across Australian environments, with a focus on application control, patching, privileged access restriction, multi-factor authentication and regular backups.
• Develop and maintain SIEM use cases, detection rules, correlation searches and dashboards to provide actionable visibility across the environment.
• Conduct regular vulnerability assessments, analyse findings, prioritise remediation and track closure through the Plan of Action and Milestones (POAM) register.
• Perform security hardening of Windows Server, Active Directory, virtualisation platforms, storage infrastructure and network devices in accordance with ASD hardening guidance and the ISM.
• Contribute to security architecture assessments, threat modelling and risk assessments for new and existing systems.
• Collaborate with infrastructure engineers to integrate security into system designs, change plans and standard operating procedures.
• Support system accreditation activities, including preparation of security documentation (SSPs, SRMPs, IRPs, DLDs) and evidence gathering for assessments.
• Brief security posture, risks and recommendations to management and government stakeholders.
• Assist with security incident response, investigation and post-incident review.

Requirements

• Three or more years of experience in one or more of the following: cyber security engineering, security operations, systems security, infrastructure security or security architecture.
• Hands-on experience with at least three of the following security platform types:
• Application whitelisting or application control
• SIEM and log management
• Vulnerability scanning and assessment
• Endpoint detection and response (EDR)
• Privileged access management (PAM)
• Identity and access management (IAM)
• Strong understanding of Active Directory, Group Policy, Windows Server hardening and Kerberos authentication.
• Familiarity with Australian Government security frameworks: the ISM, PSPF, Essential Eight Maturity Model and associated ASD guidance.
• Excellent verbal and written communication skills, with the ability to produce clear security documentation and brief both technical and non-technical audiences.
• A collaborative, low-ego approach to working in a small team where everyone shares the load.
• The ability to obtain and maintain a NV2 security clearance.

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

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We are looking for an experienced PLM Software Engineer with strong Teamcenter, database, and infrastructure expertise to join the ArsenalOS PLM team.

You will develop mission-critical Teamcenter customizations and integrations while helping own the database and infrastructure behind the PLM platform our product and program teams depend on every day.

Responsibilities:

• Administer databases: backups, recovery, indexing, statistics, and performance tuning
• Configure and operate Pool Manager, FSC/FCC, Dispatcher, TcServer, and volume management
• Improve our application observability- application, database, and server health; troubleshoot and resolve performance bottlenecks
• Manage high availability, disaster recovery, patching, and environment refreshes
• Work closely with PLM developers, the broader infrastructure team, and business teams during upgrades and production support
• Build & perform load and performance-tests for the database and environment under realistic volume to validate capacity, size resources, and catch regressions before upgrades reach production

Requirements:

• 5+ years administering Teamcenter environments in production
• Deep Teamcenter architecture and administration experience, including: 2-tier/4-tier deployment, FMS, Pool Manager, Dispatcher, TcServer
• Deploying BMIDE packages and administering Active Workspace
• Volume and file management, and Deployment Center
• Teamcenter upgrades, migrations, and environment refreshes (e.g., 14.x - 2506/25.x)
• Strong DBA fundamentals: performance tuning, indexing, query optimization, backup/recovery, security, and access management
• Log analysis and troubleshooting across the database, application, and server tiers
• Experience managing high availability, disaster recovery, and patching for large enterprise applications
• U.S. Person status is required as this position needs to access export controlled data

Preferred Qualifications:

• Experience with AWS and containerized (Docker/Kubernetes) Teamcenter deployments
• Multisite configuration
• Monitoring and observability tooling
• Splunk, Datadog, or Prometheus
• DevOps and Infrastructure-as-Code experience (Jenkins, Ansible, or similar)
• Experience in hyper growth startup-like environments or aerospace/defense manufacturing
• Cloud platforms (AWS, Azure, GCP)
• Proficiency with AI-assisted tooling (Claude Code, GitHub Copilot, Cursor, etc.)
• Eligible to obtain and maintain a U.S. Secret/Top Secret Security clearance

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This is a temporary position (12-month contract).

Electronic Arts (EA) is looking for a Site Reliability Engineer (SRE) to join our GameKit Operations team. You will be part of a newly formed SRE function and help shape the future of how EA builds and operates its development platforms and services. If you're passionate about automation, observability, and improving service reliability at scale, we'd love to hear from you. You will report into a Senior Manager.

The work model for this role is a hybrid one, working 3 days per week from our office in Bucharest.

Responsibilities

• Build scalable monitoring and observability systems using Prometheus/Grafana, Datadog, ELK, or similar.
• Build infrastructure and tooling using technologies like Terraform, Ansible, AWS CloudFormation, and CI/CD pipelines (GitLab CI/CD).
• Automate operational processes using Python and Bash to reduce manual toil and improve deployment reliability.
• Operate and improve containerized applications using Kubernetes platforms (EKS, AKS, GKE).
• Contribute to incident response processes and post-mortems, helping teams learn and improve from every incident.

Requirements

• Experience operating cloud platforms, especially AWS and Azure.
• Experience in monitoring, observability, and incident response at scale.
• Hands-on experience with Infrastructure-as-Code and automation.
• Desire to improve processes and team capabilities.
• Comfortable working in dynamic environments and solving problems collaboratively.
• 5+ years of experience building SRE practices from the ground up.
• Experience in on-call rotations or reliability-focused projects.
• Mentored junior engineers and influenced engineering culture through documentation and collaboration.

Benefits

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters.

You will be working with a team of skilled engineers that are continuously innovating to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.

Responsibilities

• Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
• Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
• Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
• Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
• Shepherding customer issues to resolution and providing timely warning of issues and risks.
• Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.

Requirements

• Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
• At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
• Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
• Knowledge of CPU and GPU architecture.
• Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
• Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.

Nice to Have

• Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
• Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
• Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
• Prior experience in building distributed systems.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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Your primary focus will be on ensuring that our internal and external-facing GPU cloud services meet reliability and uptime goals. You will work closely with developers to make changes to the existing system while keeping an eye on capacity, latency, and performance.

Key responsibilities include:

• Designing, implementing, and supporting large-scale storage clusters
• Developing and maintaining storage monitoring, logging, and alerting systems
• Working with AI/ML workloads to improve storage architectures for low-latency access and high-throughput performance
• Improving the lifecycle of storage services, from inception to deployment and continuous optimization
• Maintaining production storage infrastructure and supervising availability, latency, and system health
• Optimizing storage efficiency through compression, deduplication, and tiering strategies
• Scaling storage systems sustainably using AI/ML-driven automation and policy-based tiering
• Practicing sustainable incident response and blameless root cause analysis

Requirements:

• BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field with 8+ years of practical experience
• Experience with distributed and high-performance storage solutions
• Solid understanding of block, file, and object storage technologies
• Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics
• Expertise in algorithms, data structures, and software design
• Experience with programming languages such as C/C++, Java, Python, Go, NodeJS, and Bash
• Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform

Nice to have:

• Deep understanding of extensive distributed storage systems and replication strategies
• Experience with Git, code review, pipelines, and CI/CD
• Strong debugging skills with a systematic problem-solving approach

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Responsibilities:

• Lead, mentor, and coach a team of software development and system validation engineers.
• Review system and product requirements, design validation methodologies, and develop comprehensive test plans.
• Develop and maintain benchmarks, automation tools, and scripts for test execution, environment setup, log collection, and data analysis.
• Lead end-to-end investigation of complex issues and drive them to root cause and resolution.
• Collaborate with software and hardware development teams to debug networking technologies.
• Profile and research AI training and inference workloads to identify scalability and performance limitations.
• Document findings and continuously improve validation methodologies and engineering processes.
• Foster a team culture centered on software quality, accountability, and technical excellence.

Requirements:

• B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience.
• 8+ overall years of experience in networking, system validation, or related domains.
• 3+ years of experience leading software or system development team.
• Proven experience debugging complex production systems.
• Strong scripting and automation experience using Python, Bash, and/or Ansible.
• Ability to read, debug, and reason about C/C++ code.
• Ability to drive technical alignment across teams and make high-quality architectural decisions.

Preferred qualifications:

• Experience with large-scale clusters or distributed systems.
• Familiarity with NVIDIA networking solutions.
• Background in performance analysis, Kubernetes, or cloud environments.
• Background in chaos testing, fault injection, or simulation systems.

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As a Senior Software Platform Engineer, Intelligence Systems, you will:

• Design and implement secure CI/CD pipelines, enabling automated build, test, and deployment of software across multiple enclaves
• Collaborate with software engineers to optimize the build and test processes, reduce deployment friction, and integrate security controls early in the development lifecycle
• Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions
• Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments
• Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring
• Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening
• Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response
• Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements

Requirements:

• 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar
• Proficiency in a variety of programming or scripting languages such as Python and Bash
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Familiarity with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools
• Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)
• Understanding of Linux system administration, networking, and scripting (Python, Bash)
• Currently possesses and is able to maintain an active U.S. Secret security clearance, at a minimum.

Preferred Qualifications:

• Experience deploying and maintaining systems in classified DoD or IC environments
• Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems
• Proficient in Python package development
• Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks
• Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)
• Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments
• Experience with GitOps workflows and declarative infrastructure management
• Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)
• Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)
• Experience with air-gapped or disconnected network deployments
• Relevant certifications such as Security+, CISSP, or AWS/Azure security certifications

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We are looking for a Software Systems Engineer III to help build, operate and evolve the infrastructure platforms that power AI services, automation systems and AI-enabled operational capabilities.

This is primarily an infrastructure and platform engineering role. You will work across Kubernetes, cloud infrastructure, GitOps, CI/CD, observability, infrastructure automation and production reliability. You will help ensure that the platforms used by our engineering and operations teams are scalable, reliable, secure and easy to operate.

The ideal candidate is comfortable working hands-on in production environments, troubleshooting complex infrastructure problems and taking ownership of technical problems from investigation through implementation and operationalization.

This role is a strong fit for an engineer who enjoys the intersection of cloud infrastructure, platform engineering, DevOps/SRE practices and automation.

Responsibilities

• Build, operate and improve Kubernetes-based infrastructure supporting production services and internal platforms.
• Manage and evolve cloud infrastructure across development, staging and production environments.
• Develop and maintain infrastructure-as-code using tools such as Terraform.
• Build and improve CI/CD and GitOps workflows using technologies such as Argo CD, GitHub Actions or Azure DevOps.
• Improve platform reliability through monitoring, alerting, observability and proactive operational improvements.
• Troubleshoot infrastructure, networking, deployment, configuration and application-platform integration issues.
• Support containerized workloads and platform services running across Kubernetes environments.
• Build automation that reduces manual operational work and improves engineering productivity.
• Partner with software engineers, SREs and operations teams to design reliable deployment and runtime architectures.
• Participate in incident response, root-cause analysis and implementation of preventative improvements.
• Improve infrastructure security, access controls, secrets management and deployment safety.
• Document platform architecture, operational procedures and troubleshooting guidance.
• Evaluate new infrastructure and platform technologies and introduce them where they provide meaningful operational value.
• Support infrastructure used by AI, ML and automation workloads where required.

Requirements

• Strong hands-on experience with Kubernetes and containerized workloads.
• Practical experience operating infrastructure in Azure, AWS or another major cloud platform.
• Experience with Terraform or equivalent infrastructure-as-code technologies.
• Experience designing or maintaining CI/CD and GitOps pipelines.
• Working knowledge of tools such as Argo CD, Helm and GitHub Actions/Azure DevOps.
• Experience with monitoring and observability platforms such as Grafana, Prometheus, Datadog or equivalent technologies.
• Strong troubleshooting skills across distributed systems, infrastructure and application environments.
• Ability to read and write automation or tooling code using Python, Go, PowerShell, Bash or similar languages.
• Understanding of networking, DNS, certificates, identity, secrets management and cloud security fundamentals.
• Experience supporting production systems and participating in incident resolution.
• Ability to independently investigate technical problems, evaluate alternatives and recommend an implementation approach.
• Strong written and verbal communication skills when working across engineering and operational teams.

Benefits

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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Responsibilities:

• Develop and support continuous integration (CI/CD) processes and automation workflows for various hardware and software products.
• Build and maintain infrastructure across bare-metal, virtualized, and containerized environments.
• Collaborate with global software developers, verification teams, and performance analysts to streamline release efforts.
• Drive continual improvements in automation infrastructure, internal cloud tools, and high-scale grid computing solutions.

Requirements:

• B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical discipline.
• 3+ years of hands-on DevOps and CI/CD experience.
• Strong development skills in Python, Bash, or Groovy.
• Deep understanding of Linux administration and distribution installation.
• Proven knowledge of Docker and Kubernetes.
• Experience with CI tools like Jenkins or GitLab CI, alongside Git SCM

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You'll have an automation mindset, constantly looking for ways to scale our security efforts and reduce manual work, leveraging frontier AI models.

This role is perfect for someone passionate about security frameworks and best practices, driven by ownership, and eager to continuously improve our security posture.

You’ll be instrumental in developing best-in-class security practices as we scale.

Responsibilities

• Proven experience in incident response and security operations, including triaging security alerts, conducting investigations, and leading response efforts.
• Strong background in detection engineering, including developing, tuning, and maintaining security detection rules and alerts.
• Hands-on experience with SIEM Infrastructure, specifically with Google SecOps (Chronicle).
• Proficiency in security monitoring across various platforms, including JAMF MDM for macOS endpoints, Google Workspace, Okta and general SaaS applications.
• Experience with cloud security monitoring, particularly in Google Cloud (GCP) with familiarity in GCP Security Command Center (SCC).
• Solid scripting skills (e.g., Python, Bash) for automating detection and response tasks, data parsing, and security tooling integration.
• Deep understanding of common attack techniques, threat intelligence, and the ability to translate them into actionable detections.
• Familiarity with security frameworks and best practices (e.g., MITRE ATT&CK, NIST Cybersecurity Framework).
• Excellent analytical and problem-solving skills, with a keen eye for detail and the ability to connect disparate pieces of information during investigations.

Benefits

• Innovative culture
• Growth paths
• Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
• Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
• Annual company offsite: Each year, we bring the entire team together in a new location.
• Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

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Job Responsibilities:

• Collaborate with architecture and software design teams
• Implement new features in the core of Mellanox NIC firmware
• Develop verification tests for advanced features in a complex Firmware testing environment
• Gain in-depth knowledge of system debug, networking technology and stacks, as well as the HW/FW/SW relationship
• Learn about operating, maintaining, qualifying, and releasing large software projects, and how Hardware and Firmware are developed

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
• 5+ years of professional software development experience
• Strong proficiency in C and C++
• Solid understanding of networking protocols
• Experience with PCIe and virtualization technologies
• Excellent grasp of data structures and algorithms fundamentals
• Scripting experience with Python and/or Bash
• Strong analytical, debugging, and problem-solving skills
• Self-motivated, independent, and a great teammate with excellent interpersonal skills

Preferred Qualifications:

• Deep familiarity with RDMA stacks (RoCE, InfiniBand) and low-latency networking
• Experience in high-performance or large-scale compute environments
• Proven experience with distributed systems and scalability challenges

Benefits:

• Competitive salaries
• Generous benefits package
• Equity eligibility

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We are seeking a Systems Engineer to join our Infrastructure team, focusing on our internal, multi-region PostgreSQL platform.

Company Culture

At Cloudflare, we're on a mission to help build a better Internet. We value curiosity over bureaucracy and believe AI is a partner in solving tough problems.

Responsibilities

As a Systems Engineer, you will:

• Build, deploy, and manage PostgreSQL database clusters in production environments.
• Develop and maintain database tooling for automation, monitoring, and performance tuning.
• Implement high availability, backup, and disaster recovery solutions.
• Collaborate with Infrastructure and Applications teams to integrate database tools.
• Implement proactive solutions using observability tools to monitor database health.
• Optimize database performance, indexing strategies, and query tuning.

Requirements

Must-Have Skills

• Experience with building, scaling, and managing large-scale multi-tenant PostgreSQL database clusters.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Salt.
• Scripting skills in languages like Python or Bash.
• Experience building and maintaining database tooling for automation and monitoring.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Experience optimizing database performance and query tuning.
• Experience with alerting and monitoring tools like Prometheus, Grafana, and Kibana.

Nice-to-Have Skills

• Experience developing software in Go, Ruby, or C/C++.
• Contributions to PostgreSQL or relevant open-source projects.
• Expertise in database schema migrations and automation using tools like Flyway, Liquibase, or goose.
• Experience with connection pooling solutions like PgBouncer or HAProxy.
• Familiarity with non-relational data stores like Cassandra, Timescale, or Redis.

Compensation

• For Bay Area based hires: Estimated annual salary of $157,000 - $196,000
• For New York based hires: Estimated annual salary of $150,000 - $187,000

Benefits

Cloudflare offers a comprehensive package of benefits, including health and welfare benefits, financial benefits, and time-off programs.

What Makes Cloudflare Special?

We're committed to protecting the free and open Internet through initiatives like Project Galileo and the Athenian Project.

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What You'll Do:

Our Data Center Operations team is at the physical core of our business, responsible for building, maintaining, and operating the cutting-edge infrastructure that powers the cloud. This team ensures the stability, security, and scalability of our physical assets, working hands-on in a fast-paced, hyper-growth environment. You will join a collaborative and curious group that is essential to delivering a best-in-class experience for our clients.

About the role:

The Data Center Technician will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations. This position involves hardware and network diagnostics, followed by physical repair, and may include participation in an on-call rotation. This is a salaried, 100% onsite role at one of our Data Center locations.

Responsibilities:

• Maintain data center operations to ensure service availability and reliability.
• Conduct hardware and network diagnostics and repairs.
• Perform root cause analysis of hardware and software failures.
• Train internal teams.
• Develop documentation.
• Provide technical support to data center teams.
• Develop scripts to update server and networking hardware.
• Maintain inventory.
• Assemble and install equipment.
• Perform maintenance of test and tool equipment.
• Travel up to 10% of the time to other data center locations as required by business needs.
• Respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call.

Who You Are:

• Experience with computer hardware, including troubleshooting and assembling.
• Linux Operating System experience.
• Ability to regularly transport and position equipment weighing up to 50 lbs.
• Ability to remain in a stationary position (sitting or standing) for extended periods to perform diagnostic and repair tasks.
• Ability to maneuver in cramped or elevated spaces, such as under-floor areas or on ladders, to access server racks.
• Ability to perform tasks requiring fine motor skills, such as handling small hardware components and cables.
• Availability to work a flexible schedule within a 24/7 environment, including participating in a rotating on-call shift.
• Excellent time management, organizational, and communication skills.
• Must be able to prioritize tasks and react quickly to issues.
• Work is primarily performed in a climate-controlled data center. Candidates must be able to perform essential job duties in an environment with fluctuating temperatures and variable airflow - specifically within designated hot and cold aisles - ranging from 60°F to 90°F.

Preferred:

• Hands-on or education-based experience with computer hardware, including troubleshooting and repair skills.
• Data Center experience.
• Computer Networking experience.
• Python, Bash, or other scripting languages experience.
• Experience with Cisco IOS and/or Juniper JunOS.
• An Associate's Degree or equivalent experience in an IT-related field.

Why Us?

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empees Employee
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The base salary range for this role is $65,000 to $83,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program.

What We Offer

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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Responsibilities:

• Operate and improve the GPU fleet end-to-end: provisioning, scheduling, monitoring, upgrades, capacity planning
• Build automation that keeps the fleet healthy without human intervention , node health checks, automated draining and remediation, burn-in pipelines for new capacity
• Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE)
• Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast
• Build and maintain high-performance storage for datasets and checkpoints
• Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs , and fix the class of problem, not just the instance
• Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs
• Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors
• Keep clusters secure by default: access control, network isolation, secrets

Requirements:

• Experience running large-scale Linux server or GPU environments in production
• Knowledge of the NVIDIA stack: drivers, CUDA, NCCL, DCGM
• Comfortable with bare-metal environments, server hardware, and high-speed networking
• Proficiency in Python and/or Bash, with IaC tools like Ansible or Terraform
• Experience with metrics, logs, and PromQL

Nice to have:

• Experience supporting ML training workloads from the infra side
• Experience evaluating and working with GPU cloud providers
• Knowledge of parallel filesystems or large-scale object storage
• BMC/IPMI/Redfish automation, PXE provisioning at scale
• Power and cooling awareness for dense GPU deployments

Location: Remote

Benefits:

• Innovative culture
• Growth paths
• Learning & development support
• Social travel stipend
• Annual company offsite
• Co-working stipend

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Every model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity.

This is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem.

Responsibilities:

• Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning
• Build automation that keeps the fleet healthy without human intervention , node health checks, automated draining and remediation, burn-in pipelines for new capacity
• Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE)
• Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast
• Build and maintain high-performance storage for datasets and checkpoints
• Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs , and fix the class of problem, not just the instance
• Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs
• Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors
• Keep clusters secure by default: access control, network isolation, secrets

Requirements:

• Have run large-scale Linux server or GPU environments in production and enjoy both building and operating
• Know the NVIDIA stack well , drivers, CUDA, NCCL, DCGM , or have deep systems experience and learn hardware stacks fast
• Are comfortable with bare-metal environments, server hardware, and high-speed networking
• Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform
• Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong
• Like owning real scope end to end and being the person others rely on
• Don't consider any task above or beneath you , datacenter trips included

Nice to have:

• Experience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns)
• Experience evaluating and working with GPU cloud providers
• Parallel filesystems (WEKA, VAST, etc) or large-scale object storage
• BMC/IPMI/Redfish automation, PXE provisioning at scale
• Power and cooling awareness for dense GPU deployments

Location: This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.

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Responsibilities:

• Design, deploy, manage, and optimize Azure Kubernetes Service (AKS) clusters.
• Administer Kubernetes workloads, node pools, ingress, scaling, networking, and storage.
• Build and maintain Docker containers and Kubernetes deployment configurations.
• Implement and support CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Automate infrastructure provisioning using Terraform, Bicep, or ARM templates.
• Troubleshoot Kubernetes, infrastructure, networking, and application deployment issues.
• Implement Kubernetes and Azure security best practices including RBAC, network policies, secrets management, and workload identity.
• Support high availability, disaster recovery, backup, and platform reliability initiatives.
• Collaborate with development and architecture teams to improve platform scalability and deployment efficiency.
• Create and maintain operational documentation, standards, and runbooks.

Requirements:

• Bachelor's Degree from a Four (4) year College or University.
• 5+ years of experience in Cloud Infrastructure, DevOps, SRE, or Platform Engineering.
• 3+ years of hands-on experience with Azure Kubernetes Service (AKS) and Kubernetes administration.
• Knowledge and experience with Microsoft Azure Kubernetes.
• Knowledge and experience with Docker.
• Knowledge and experience with Terraform or Infrastructure as Code.
• Knowledge and experience with Azure DevOps and/or GitHub Actions.
• Experience with Kubernetes networking concepts.
• Strong troubleshooting skills in production cloud environments.
• Experience with monitoring and logging platforms.
• Knowledge of Azure networking, DNS, load balancing, and cloud security best practices.
• Scripting experience with PowerShell, Bash, or Python.
• Strong communication and collaboration skills.

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As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

We are looking for a System / Site Reliability Engineer (SRE) to help ensure the reliability, scalability, and performance of our enterprise systems and services. In this role, you will apply software engineering principles to operations, partner closely with development and infrastructure teams, and build automation that strengthens system stability and efficiency. You will play a pivotal role in bridging the gap between software development and IT operations, driving a culture of resilience, observability, automation, and proactive problem-solving.

Key Responsibilities

1. Ensure System Reliability & Availability

• Monitor and report on application performance, and highlight any deviations or issues.
• Collaborate with application engineers and developers to identify root causes and implement durable fixes.

2. Incident Management & Root Cause Analysis

• Participate as a Subject Matter Advisor during production incidents and outages.
• Provide insights backed by system monitoring, code review, and database analysis.
• Support post-mortem reviews and drive follow-up actions.

3. Automation & Tooling

• Automate operational tasks such as monitoring, alerts, and recovery processes.
• Build scripts and internal tools to eliminate manual toil and improve operational efficiency.

4. Monitoring & Observability

• Implement telemetry and observability practices to track system health, latency, and error rates.
• Manage the Dynatrace platform and its integrations with application services.
• Support teams in designing dashboards and visualization setups.

5. Security & Compliance

• Implement necessary access controls, encryption, and audit capabilities within SRE scope.

6. Capacity Planning & Performance Optimization

• Analyze usage trends to forecast demand and support scaling decisions.
• Contribute to cost-performance optimization efforts across infrastructure and applications.
• Collaborate closely with development, QA, and infrastructure teams to embed reliability into the SDLC.

7. Documentation & Knowledge Sharing

• Maintain clear and up-to-date operational documentation, runbooks, and architecture diagrams.
• Champion SRE principles across the organization to foster resilience and accountability.

Job Requirements

Education

• Bachelor’s degree in Computer Science, Software Engineering, IT, or related fields.

Experience

• 3–5 years of experience in SRE, DevOps, or Software Engineering roles.
• Experience supporting front-end applications in production environments, ideally within financial services or other regulated industries.

Technical Skills

• Strong understanding of front-end performance monitoring and instrumentation.
• Hands-on experience with Real User Monitoring (RUM), Synthetic Monitoring, and APM tools (e.g., Dynatrace, New Relic, Datadog).
• Proficiency in building dashboards and alerts using Dynatrace, Grafana, Prometheus, Elastic Stack, or Splunk.
• Familiarity with OpenTelemetry for distributed tracing.
• Scripting skills in Python, Bash, or JavaScript.
• Experience with CI/CD pipelines (e.g., GitHub Flow).
• Practical experience with cloud technologies (AWS or Azure).
• Knowledge of Docker and Kubernetes.
• Understanding of secure coding practices for front-end applications.
• Awareness of financial compliance standards such as PCI-DSS.

Why Join Us?

• Be part of a high-impact team shaping system resilience across the enterprise.
• Work with modern observability and automation technologies.
• Influence engineering culture through SRE best practices.
• Opportunities to innovate and drive real improvements in system reliability.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

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Responsibilities:

• Operate and improve the GPU fleet end-to-end: provisioning, scheduling, monitoring, upgrades, capacity planning
• Build automation that keeps the fleet healthy without human intervention , node health checks, automated draining and remediation, burn-in pipelines for new capacity
• Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE)
• Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast
• Build and maintain high-performance storage for datasets and checkpoints
• Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs , and fix the class of problem, not just the instance
• Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs
• Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors
• Keep clusters secure by default: access control, network isolation, secrets

Requirements:

• Experience running large-scale Linux server or GPU environments in production
• Knowledge of the NVIDIA stack: drivers, CUDA, NCCL, DCGM
• Comfortable with bare-metal environments, server hardware, and high-speed networking
• Proficiency in Python and/or Bash, with IaC tools like Ansible or Terraform
• Experience with metrics, logs, and PromQL

Nice to have:

• Experience supporting ML training workloads from the infra side
• Experience evaluating and working with GPU cloud providers
• Knowledge of parallel filesystems or large-scale object storage
• BMC/IPMI/Redfish automation, PXE provisioning at scale
• Power and cooling awareness for dense GPU deployments

Location: Remote

Benefits:

• Innovative culture
• Growth paths
• Learning & development support
• Social travel stipend
• Annual company offsite
• Co-working stipend

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Job Duties:

• Maintain platform stability and high availability by defining and monitoring key observability metrics across all cloud environments.
• Lead incident response efforts and conduct thorough Root Cause Analysis (RCA) to implement long-term preventative measures.
• Develop and govern a library of modular Terraform modules to ensure all deployments are standardized and reproducible.
• Identify and reduce manual toil by building automation scripts and exploring intelligent tooling for repetitive operational tasks.
• Build and manage comprehensive observability stacks, including monitoring and logging, to provide deep visibility into system health.
• Enforce security standards such as CIS Benchmarks through the implementation of automated guardrails.
• Optimize cloud resource utilization and costs by using predictive insights to scale infrastructure based on real-time demand.

Job Requirements:

• Minimum 4 years in AWS, Azure, GCP or China Brand Private Cloud, professional experience in SRE or DevOps roles managing high-availability production environments.
• Expert-level proficiency in Terraform for managing large-scale infrastructure as code.
• Strong programming skills in languages such as Python, Go, or Bash for developing robust automation tools.
• Extensive hands-on experience with observability platforms like Prometheus, Grafana, or the ELK stack.
• Demonstrate a deep understanding of cloud networking and security, including VPC design and CIS compliance standards.
• Familiar with modern automation trends, such as using AI-driven data analytics, reporting and anomaly detection to enhance incident triage.
• Proven ability to solve complex problems in distributed systems while working under high-pressure situations.

Competencies and Behaviors Required:

• Analytical Thinking: Breaks down complex cloud infrastructure challenges into manageable components.
• Risk Awareness: Understands and adheres to HKEX’s risk appetite when implementing cloud solutions.
• Intellectual Curiosity: Actively explores emerging cloud technologies.
• Resilience: Maintains composure and adaptability when troubleshooting critical cloud system issues.
• Effective Communication: Explains complex technical concepts clearly to non-technical stakeholders.
• Teamwork: Works collaboratively with colleagues to deliver secure and scalable cloud solutions.

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Responsibilities

• Maintain data center operations to ensure service availability and reliability
• Conduct hardware and network diagnostics and repairs
• Perform root cause analysis of hardware and software failures
• Train internal teams
• Develop documentation
• Provide technical support to data center teams
• Develop scripts to update server and networking hardware
• Maintain inventory
• Assemble and install equipment
• Perform maintenance of test and tool equipment
• Travel up to 10% of the time to other data center locations as required
• Respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call

Requirements

• Computer hardware experience (troubleshooting, assembling)
• Linux Operating System experience
• Ability to regularly transport and position equipment weighing up to 50 lbs
• Ability to remain in a stationary position (sitting or standing) for extended periods
• Ability to maneuver in cramped or elevated spaces
• Ability to perform tasks requiring fine motor skills
• Availability to work a flexible schedule within a 24/7 environment
• Excellent time management, organizational, and communication skills
• Ability to prioritize tasks and react quickly to issues
• Ability to work in a climate-controlled data center with fluctuating temperatures

Preferred Qualifications

• Hands-on or education-based experience with computer hardware, data center operations, computer networking, Python, Bash, or other scripting languages
• Experience with Cisco IOS and/or Juniper JunOS
• An Associate's Degree or equivalent experience in an IT-related field

What We Offer

• Competitive salary ($65,000 - $83,000 per year)
• Comprehensive benefits package, including medical, dental, and vision insurance, company-paid life insurance, short and long-term disability insurance, and 401(k) with employer match
• Flexible PTO and catered lunch each day in our office and data center locations
• Opportunities for professional growth and development in a fast-paced, hyper-growth environment

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The successful candidate will have experience with computer hardware, Linux Operating System, and data center operations. You will be expected to conduct hardware and network diagnostics, perform root cause analysis of hardware and software failures, and provide technical support to data center teams.

Responsibilities:

• Maintain data center operations to ensure service availability and reliability.
• Conduct hardware and network diagnostics and repairs.
• Perform root cause analysis of hardware and software failures.
• Train internal teams.
• Develop documentation.
• Provide technical support to data center teams.
• Develop scripts to update server and networking hardware.
• Maintain inventory.
• Assemble and install equipment.
• Perform maintenance of test and tool equipment.
• Travel up to 10% of the time to other data center locations as required.

Requirements:

• Computer hardware experience (troubleshooting, assembling).
• Linux Operating System experience.
• Ability to regularly transport and position equipment weighing up to 50 lbs.
• Ability to remain in a stationary position (sitting or standing) for extended periods.
• Ability to maneuver in cramped or elevated spaces.
• Excellent time management, organizational, and communication skills.
• Must be able to prioritize tasks and react quickly to issues.

Preferred qualifications include hands-on or education-based experience with computer hardware, data center experience, computer networking experience, Python, Bash, or other scripting languages experience, and experience with Cisco IOS and/or Juniper JunOS.

We offer a competitive salary range of $65,000 to $83,000, a comprehensive benefits program, and opportunities for professional growth and development.

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Join the team and help advance the next generation of NVIDIA Data Center GPUs!

We lead test planning, execution readiness, defect triage, and automation from early platform bring up through key release stages. We collaborate across CUDA, NVIDIA Driver, GPU architecture, firmware, system platform, Quality Assurance, and program teams to translate feature requirements into measurable coverage, identify release risks, and drive issues to resolution.

Responsibilities:

• Develop CUDA Compute test plans and coordinate validation across PCIe high-performance computing GPUs, NVIDIA systems, OEM servers, GPU configurations, operating systems, driver modes, CUDA versions, and release stages.
• Build Python, C, C++, CUDA, and Bash test applications, automation frameworks, release configurations, and GitLab or Jenkins pipelines. Convert NPI failures, customer defects, root cause findings, and suitable manual tests into reliable automated regression coverage.
• Separate product regressions from automation, infrastructure, configuration, and intermittent issues. Drive defects with clear reproduction steps, affected configurations, intended and actual results, supporting evidence, release impact, fix verification, and adjacent regression coverage.
• Apply AI assisted tools to analyze test runs and validate conclusions against source logs and engineering decisions.

Requirements:

• A BS or MS in Engineering, Computer Science, or a related field, or equivalent experience, with 8+ years experience in software quality, test automation, or software development and validation.
• Experience solving Linux and Windows system issues; development using scripting and programming languages such as Python, C, C++, CUDA, or Bash; and debugging across hardware, firmware, operating system, driver, and application layers.
• Knowledge of Quality Assurance methodology, risk based test planning, functional validation, regression strategy, release readiness, CI/CD, API integrations, log analysis, root cause isolation, and defect triage.
• Strong communication and teamwork skills are essential for explaining release risk and clarifying ownership, dependencies, and blockers.

Preferred Qualifications:

• Experience with NVIDIA GPU hardware, CUDA, PCIe-based GPUs built for data centers, server platforms, CUDA C or C++ parallel programming, multiple GPU validation, P2P, reliability, or stress testing.
• Experience with developing scalable validation infrastructure for labs, cloud environments, containers, virtualization, or configuration management.
• Practical use of AI assisted analytics for test planning, automation, failure analysis, or defect detection is also valued.

You will also be eligible for equity and benefits.

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This position is built for a network security practitioner who thrives at the intersection of deep routing protocol investigation, edge-network defense, and strategic technical partnership.

The role is responsible for architecting responses to sophisticated infrastructure threats across OSI Layers 3, 4, and 7, ensuring global customers remain resilient against large-scale volumetric DDoS attacks and complex network-layer anomalies.

Responsibilities:

• Technical Escalation & Response: Acting as a subject matter expert for the Managed Defense Center during complex network security incidents, providing hands-on intervention for large-scale volumetric and protocol-based DDoS attacks when standard protocols are exceeded.
• Incident Architecture: Leading the technical response to sophisticated infrastructure threats, validating the efficacy of network mitigation rules, and ensuring stable, clean traffic delivery via BGP and GRE mechanisms.
• Detection Engineering: Designing, deploying, and tuning network attack detection logic, utilizing attack telemetry to stay consistently ahead of evolving DDoS methodologies and adversary tactics.
• Technical Communications: Driving high-touch technical dialogue with customer network teams during critical incidents, translating complex routing and attack flow data into actionable architectural advice.
• Operational Engineering & AI Integration: Designing and refining technical Managed Defense workflows, building AI-driven automated troubleshooting playbooks (particularly around BGP/GRE), and tuning alerting thresholds to create self-healing infrastructure responses.
• Forensics & Analysis: Utilizing internal telemetry, flow data, and specialized monitoring tools to perform deep-dive forensics on novel network attack vectors.
• Technical Coaching: Mentoring the Managed Defense team on advanced traffic analysis and security best practices, ensuring a high technical bar across the Managed Defense Center.

Desirable Skills, Knowledge, and Experience:

• Experience: A minimum of 8+ years of relevant hands-on experience specifically within the DDoS mitigation industry, Network Security Operations, or a highly technical infrastructure incident response environment.
• Protocol Sovereignty: A profound understanding of internet routing and encapsulation protocols. Expert-level knowledge of BGP (Border Gateway Protocol) and GRE (Generic Routing Encapsulation) reinjection, along with a deep ability to deconstruct TCP/IP, UDP, and ICMP traffic flows.
• Security Mastery: Proven ability to identify common network attacks and design robust mitigation strategies for complex volumetric DDoS, UDP/TCP based, and protocol exhaustion using edge-based security controls.
• Detection & Tuning: Demonstrated expertise in detection engineering, including the continuous tuning of network security rules and alerts to optimize defense efficacy and operational signal-to-noise ratios.
• AI Tooling & Automation: Proficiency in Python, Go, or Bash to automate network security workflows, with demonstrated experience leveraging AI/ML models or LLM APIs to build automated troubleshooting diagnostics and dynamic threat mitigations.
• System Literacy: Experience with monitoring platforms (e.g., Prometheus/Grafana) and querying large network datasets to operationalize contextual routing and security data.
• Certifications: Advanced networking and network security credentials such as Cisco CCNP, CCNP Security, or CCIE are highly valued.

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As a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. You will partner with Cybersecurity, Infosec, Build Engineering, and product teams to turn security and compliance requirements into practical engineering controls.

Responsibilities

• Design and implement security controls across AWS infrastructure and platform services
• Build and maintain hardened container images and secure base images for engineering and production workloads
• Integrate vulnerability, dependency, container, and configuration scanning into software delivery systems
• Automate security and compliance checks to reduce manual review and improve consistency
• Implement secrets management, identity, and access controls across infrastructure and engineering systems
• Build mechanisms for audit evidence, configuration validation, and compliance reporting
• Identify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams
• Partner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls
• Work with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows
• At the Staff level, define reusable patterns and drive adoption of security engineering practices across multiple teams

Required Qualifications

• 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.
• Experience implementing security controls in AWS or another major cloud environment
• Experience with infrastructure-as-code and automated infrastructure provisioning
• Experience securing containerized workloads and building or maintaining hardened container images
• Experience integrating security tooling into CI/CD or software delivery systems
• Experience with vulnerability management, dependency scanning, container scanning, or configuration validation
• Experience implementing identity, secrets, and access controls in cloud or engineering environments
• Experience automating security or infrastructure tasks using Python, Go, Bash, or a similar language
• Ability to diagnose security and configuration issues across infrastructure, containers, and platform services
• Experience working with security and engineering teams to implement shared technical controls

Preferred Qualifications

• Experience operating systems in regulated or compliance-driven environments
• Experience with Kubernetes security, workload identity, or container runtime controls
• Experience building reusable hardened images or secure infrastructure baselines used across multiple teams
• Experience with cloud security posture management, policy-as-code, or automated compliance tooling
• Experience supporting audit evidence collection or continuous compliance workflows
• Familiarity with software supply-chain security, artifact integrity, or signing/attestation workflows

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Cloud Engineering builds and operates the infrastructure and environments that support Shield AI’s software products and platforms. As a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads.

Responsibilities

• Design and implement security controls across AWS infrastructure and platform services
• Build and maintain hardened container images and secure base images for engineering and production workloads
• Integrate vulnerability, dependency, container, and configuration scanning into software delivery systems
• Automate security and compliance checks to reduce manual review and improve consistency
• Implement secrets management, identity, and access controls across infrastructure and engineering systems
• Build mechanisms for audit evidence, configuration validation, and compliance reporting
• Identify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams
• Partner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls
• Work with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows
• At the Staff level, define reusable patterns and drive adoption of security engineering practices across multiple teams

Required Qualifications

• 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.
• Experience implementing security controls in AWS or another major cloud environment
• Experience with infrastructure-as-code and automated infrastructure provisioning
• Experience securing containerized workloads and building or maintaining hardened container images
• Experience integrating security tooling into CI/CD or software delivery systems
• Experience with vulnerability management, dependency scanning, container scanning, or configuration validation
• Experience implementing identity, secrets, and access controls in cloud or engineering environments
• Experience automating security or infrastructure tasks using Python, Go, Bash, or a similar language
• Ability to diagnose security and configuration issues across infrastructure, containers, and platform services
• Experience working with security and engineering teams to implement shared technical controls

Preferred Qualifications

• Experience operating systems in regulated or compliance-driven environments
• Experience with Kubernetes security, workload identity, or container runtime controls
• Experience building reusable hardened images or secure infrastructure baselines used across multiple teams
• Experience with cloud security posture management, policy-as-code, or automated compliance tooling
• Experience supporting audit evidence collection or continuous compliance workflows
• Familiarity with software supply-chain security, artifact integrity, or signing/attestation workflows

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That's where VGS comes in. We're the world's leader in payment tokenization, trusted by the most innovative AI and Fortune 500 companies, merchants, banks, and fintechs to power modern payments and agentic commerce. We store more than 9 billion tokens and process more than 10 billion monthly interactions, touching a third of all e-commerce.

Trusted Engineering That Matters

Engineering at VGS

VGS is building the platform powering agentic commerce and global payments infrastructure. VGS Engineering is the pillar that supports that vision. We create a platform that is an indispensable, ubiquitous component of our partners' payments and security infrastructure. We build and operate high-scale, reliable, and resilient systems that manage mission-critical payment data across the globe.

Our Environment & Culture

• Modern Tooling as Leverage: We value speed and impact. To ensure nothing slows you down, we arm you with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling.
• Ownership of Outcomes: Scaling global payments infrastructure requires individuals who take personal ownership of outcomes from day one.
• Mission-Critical Accountability: We power payments infrastructure for global market leaders, making system trust and integrity our core deliverable.

About the Role

As a Sr. Infrastructure Engineer (DevOps), you will serve as a key technical practitioner on our Platform Engineering team, taking personal ownership of our cloud platform, CI/CD pipelines, and internal developer platforms. In this role, you will help build, scale, and fortify global cloud infrastructure designed to handle mission-critical, high-throughput payment applications with zero downtime.

What You'll Do

• Build Immutable, Self-Healing Platform Foundations: Design, build, and optimize high-availability AWS infrastructure.
• Accelerate CI/CD & Developer Velocity: Own, modernize, and scale our continuous integration and continuous delivery (CI/CD) pipelines.
• Drive Resiliency & GitOps Automation: Replace manual toil with self-healing, automated infrastructure using GitOps methodologies.
• Deep Observability & Operational Rigor: Configure and maintain comprehensive telemetry tooling.
• Security & Network Engineering: Embed security guardrails and compliance practices directly into deployment workflows.
• Platform Enablement & Mentorship: Partner strategically with product and engineering teams to drive platform adoption.

What You Bring

• Ownership at Scale: 5+ years of hands-on experience in DevOps, Platform Engineering, or Infrastructure roles.
• Containerization & GitOps Orchestration: Advanced experience with Kubernetes (EKS), Docker, and modern GitOps deployment workflows.
• CI/CD Pipeline Mastery: Proven track record building, optimizing, and securing automated CI/CD deployment pipelines.
• Automation & Scripting: Strong coding/scripting skills in Python, Go, or Bash.
• Observability & SRE Practice: Hands-on experience implementing end-to-end telemetry and monitoring stacks.
• Growth Mindset & High Agency: An innate drive to eliminate manual friction, automate repetitive tasks, and acquire whatever missing context is needed to solve complex platform challenges end-to-end.

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As a Data Center Engineer, you will be responsible for the day-to-day physical operation of our India datacentre facility and associated office technology rooms.

Responsibilities:

• Own the day-to-day physical operation of Millennium's India datacentre facility and associated office technology rooms, including power, cooling, space, cabling, and security.
• Perform hands-on datacentre work including racking and stacking, structured copper and fibre cabling, labelling, patching, and maintaining strong cable hygiene standards.
• Manage hardware lifecycle activities across servers, storage, and network equipment, including installations, upgrades, moves, adds, changes, and decommissioning.
• Coordinate and execute hardware replacements and RMAs with local and international vendors, while helping maintain service continuity.
• Monitor infrastructure and environmental alerts, respond to incidents, perform first-line troubleshooting, and support a 24x7 operating environment through maintenance windows and extended-hours work as needed.
• Work within established ITIL and ITSM processes for incidents, requests, and changes, while maintaining accurate asset, location, and connectivity records in platforms including ServiceNow and Nlyte.
• Support network device deployment and basic configuration under the direction of Network Engineering, including physical connectivity, VLAN validation, link checks, and basic Layer 2 and Layer 3 troubleshooting.
• Contribute to tooling, automation, and integration efforts across DCIM, monitoring, logging, CMDB, and capacity platforms, while improving runbooks, SOPs, and recurring operational processes.

Requirements:

• 5+ years of experience in a datacentre or large-scale infrastructure environment, ideally within financial services or another mission-critical setting.
• Proven hands-on experience managing racks, cabling, hardware installations, and decommissioning across multi-cabinet environments.
• Experience supporting office technology rooms or comms rooms, including IDF and MDF environments, in addition to core datacentres.
• Strong working knowledge of datacentre power and cooling concepts, including PDUs, UPS, dual feeds, capacity management, and hot aisle or cold aisle design.
• Solid CCNA-level networking knowledge, including TCP/IP, VLANs, trunking, subnetting, basic routing, and access control concepts, with the ability to perform CLI-based troubleshooting on enterprise network devices.
• Experience working with remote management and operational tooling, including technologies such as IPMI, iDRAC, iLO, console servers, ServiceNow, Jira, and DCIM or CMDB platforms.
• Basic scripting capability in Python, PowerShell, or Bash to support task automation, reporting, and data handling.
• Strong documentation, communication, and coordination skills, with a high level of ownership, attention to detail, and the ability to work effectively with local facilities teams, vendors, and global stakeholders across time zones.

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Responsibilities

• Maintain data center operations to ensure service availability and reliability
• Conduct hardware and network diagnostics and repairs
• Perform root cause analysis of hardware and software failures
• Train internal teams
• Develop documentation
• Provide technical support to data center teams
• Develop scripts to update server and networking hardware
• Maintain inventory
• Assemble and install equipment
• Perform maintenance of test and tool equipment
• Travel up to 10% of the time to other data center locations as required
• Respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call

Requirements

• Computer hardware experience (troubleshooting, assembling)
• Linux Operating System experience
• Ability to regularly transport and position equipment weighing up to 50 lbs
• Ability to remain in a stationary position (sitting or standing) for extended periods
• Ability to maneuver in cramped or elevated spaces
• Ability to perform tasks requiring fine motor skills
• Availability to work a flexible schedule within a 24/7 environment
• Excellent time management, organizational, and communication skills
• Must be able to prioritize tasks and react quickly to issues
• Work is primarily performed in a climate-controlled data center with fluctuating temperatures and variable airflow

Preferred Qualifications

• Hands-on or education-based experience with computer hardware, data center operations, computer networking, Python, Bash, or other scripting languages
• Experience with Cisco IOS and/or Juniper JunOS
• An Associate's Degree or equivalent experience in an IT-related field

What We Offer

• Competitive salary ($65,000 to $83,000 per year)
• Comprehensive benefits package, including medical, dental, and vision insurance, company-paid life insurance, short and long-term disability insurance, and 401(k) with employer match
• Flexible PTO and catered lunch each day in our office and data center locations
• Opportunities for professional growth and development in a fast-paced, hyper-growth environment

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What You'll Do:

Our Data Center Operations team is at the physical core of our business, responsible for building, maintaining, and operating the cutting-edge infrastructure that powers the cloud. This team ensures the stability, security, and scalability of our physical assets, working hands-on in a fast-paced, hyper-growth environment. You will join a collaborative and curious group that is essential to delivering a best-in-class experience for our clients.

About the role:

The Data Center Technician will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations. This position involves hardware and network diagnostics, followed by physical repair, and may include participation in an on-call rotation. This is a salaried, 100% onsite role at one of our Data Center locations.

Responsibilities:

• Maintain data center operations to ensure service availability and reliability.
• Conduct hardware and network diagnostics and repairs.
• Root cause analysis of hardware and software failures.
• Training of internal teams.
• Development of documentation.
• Provide technical support to data center teams.
• Development of scripts to update the server and networking hardware.
• Maintain inventory.
• Assemble and install equipment.
• Perform maintenance of test and tool equipment.
• Ability to travel up to 10% of the time to other data center locations as required by business needs.
• Essential duties include the ability to respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call.

Who You Are:

• Computer Hardware experience (troubleshooting, assembling)
• Linux Operating System experience.
• Ability to regularly transport and position equipment weighing up to 50 lbs.
• Ability to remain in a stationary position (sitting or standing) for extended periods to perform diagnostic and repair tasks.
• Ability to maneuver in cramped or elevated spaces, such as under-floor areas or on ladders, to access server racks.
• Ability to perform tasks requiring fine motor skills, such as handling small hardware components and cables.
• Availability to work a flexible schedule within a 24/7 environment, including participating in a rotating on-call shift.
• Excellent time management, organizational, and communication skills.
• Must be able to prioritize tasks and react quickly to issues.
• Work is primarily performed in a climate-controlled data center. Candidates must be able to perform essential job duties in an environment with fluctuating temperatures and variable airflow - specifically within designated hot and cold aisles - ranging from 60°F to 90°F.

Preferred:

Hands-on OR education-based experience with any of the following areas:

• Computer Hardware, including troubleshooting and repair skills experience
• Data Center experience
• Computer Networking experience
• Python, Bash, or other scripting languages experience
• Experience with Cisco IOS and/or Juniper JunOS
• An Associate's Degree or equivalent experience in an IT-related field

Why Us?

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empees Employee
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The base salary range for this role is $75,000 CAD to $117,500 CAD. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation.In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads.

Responsibilities

• Linux Infrastructure Engineering: Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments.
• End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g., Ansible and Terraform.
• Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry.
• Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads.

Requirements

• Linux Internals: 8+ years of deep systems engineering experience working with RPM-based Linux distributions. Bachelor's degree or equivalent work experience.
• Infrastructure as Code: Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus.
• Virtualization and Container Architecture: Deep understanding of virtualization and container internals (e.g., Docker, Podman, Kubernetes, MicroVMs), including trade-offs between technologies. Demonstrated ability to design and build scalable container infrastructure from scratch, including registry management, custom image development, and layer optimization.
• Scripting & Tooling: Proficiency in at least one modern language (Python, Bash, or Go) for infrastructure automation, tooling development, and API integrations.
• Networking Fundamentals: Deep operational understanding of OSI layers, TCP socket states, MTU optimization, packet captures (tcpdump, wireshark), and modern physical or software-defined networking (SDN).

Nice to Have

• Experience with CI/CD integration pipelines (GitLab CI, GitHub Actions, or Jenkins) for infrastructure artifacts. Relevant industry certifications (e.g., RHCE, CKA).
• Proven experience managing GCP and AWS compute services. Experience with using LLMs to build and manage infrastructure.
• Prior experience supporting EDA toolchains (e.g., Synopsys, Cadence) and high-performance compute clusters (e.g., exposure to LSF and Slurm environments a bonus).

You will also be eligible for equity and benefits.

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Cloudflare is seeking an experienced Network Security Engineer to join our team and support our largest and most technically sophisticated customers in resolving technical problems, threats or attacks on their infrastructure at OSI Layers 3, 4, and 7.

Responsibilities

• Communicate with customers via chat, email, and phone
• Compare traffic signatures and attributes including IP addresses, cookie variations, HTTP headers, and JavaScript footprints to determine what is good traffic and what is malicious
• DDoS mitigation for OSI layers 3,4, & 7: advise customers on how to filter malicious traffic using Cloudflare tools like Magic Transit, Network Firewall, WAF, IP reputation lists, packet inspection, blocklisting, allowlisting, and rate limiting
• Work with Engineering and Operations teams to mitigate attacks, suggest steps to mitigate, and apply the appropriate mitigation, when applicable
• Work with Engineering and Product teams to improve the products and tools

Requirements

• Self-driven and capable of learning new technologies / systems / features with little guidance
• Fundamental understanding how the Internet works (OSI Model)
• Advanced understanding of modern internet protocols like TCP and UDP
• Computer Networking fundamentals, experience with iptables and looking glass
• Experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels
• Packet capture analysis
• Experience in command line and tools, including curl, dig, traceroute, openssl, git
• Experience troubleshooting DNS, SSL / TLS, HTTP
• Experience in a web development and / or hosting environment such as installing and configuring web servers like Apache, Nginx, Caddy and IIS
• Experience writing scripts in Bash, Python, JavaScript or other scripting language
• Experience in working as part of a team in a customer-facing role

Nice to Have

• Fluent in German, Japanese, French, Spanish, Portuguese, or Mandarin
• Experience with PostgreSQL, MySQL, MS SQL, and other database servers
• Familiarity with Cloudflare and actively using our platform

Compensation

• Estimated annual salary of €38,000-52,000 for Lisbon based hires
• Eligible to participate in Cloudflare's equity plan

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As a Staff Infrastructure Engineer, you will serve as a technical leader on our Platform Engineering team. You will architect, scale, and fortify global cloud infrastructure designed to handle mission-critical, high-throughput payments applications with zero downtime.

You will take ownership of key platform foundations powering our core payments infrastructure. Rather than executing against a rigid task list or holding blanket ownership over the entire platform, you will drive the technical strategy, architecture, and reliability standards for your designated domains within our multi-region AWS environment. We are looking for high-agency engineers who want to own complex distributed system challenges end-to-end and elevate how the entire engineering team operates.

If you thrive on solving complex distributed systems problems, building automated resiliency, and driving modern SRE practices, we want to build the future with you.

What You'll Do

• Build Immutable, Self-Healing Systems: Design, build, and optimize multi-region, high-availability AWS infrastructure. You will drive our evolution from hand-crafted environments to a standardized, globally scalable fleet managed entirely through code.

• Drive Resiliency & Automation: Replace manual toil with self-healing, automated infrastructure using GitOps, modern CI/CD pipelines, and IaC.

• Deep Observability & Resiliency: Build end-to-end telemetry (Prometheus, Grafana, OpenTelemetry) to proactively spot bottlenecks. You will own incident management and conduct blameless post-mortems to continuously harden our reliability baseline.

• Force-Multiply Engineering Velocity: Partner closely with Product, Security, and Core Engineering teams and lead from the front by designing "Golden Paths" that strip away friction for feature teams. You will influence company-wide engineering practices and mentor the organization on how to move fast with high alignment.

• Customer Impact: Architect and operate high-performance, low-latency private connectivity to optimize the experience for external customers. Partner strategically with internal engineering teams at the design and architectural level for platform enablement and adoption.

What You Bring

• Ownership at Scale: 8+ years of experience taking personal ownership of outcomes in complex, large-scale distributed systems within mission-critical environments.

• AWS & Infrastructure-as-Code: Advanced proficiency in AWS ecosystems leveraging Terraform to build reproducible environments.

• Containerization & Orchestration: Strong, hands-on experience with Kubernetes (EKS), Docker, and GitOps workflows (Flux, Argo, GitHub Actions).

• Automation & Scripting: Strong coding skills in Python, Go, or Bash to automate infrastructure and build operational tools.

• Observability Expertise: Deep experience implementing Prometheus, Grafana, or OpenTelemetry at scale.

• Security & Networking Foundations: Solid understanding of cloud security, API Gateways, load balancing, and network isolation, viewing security as a fundamental engineering constraint, not an afterthought.

Nice to Have

• Experience with tokenization, payment processing, cryptology, or security products

• BA/BS degree

• A knack for out-of-the-box thinking that thrives in a fast-paced startup environment

• Experience managing distributed data streaming platforms like Kafka (MSK).

• Database performance tuning and query optimization skills.

• Familiarity with Java / Spring Framework services.

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You will take ownership of key platform foundations powering our core payments infrastructure. Rather than executing against a rigid task list or holding blanket ownership over the entire platform, you will drive the technical strategy, architecture, and reliability standards for your designated domains within our multi-region AWS environment.

Responsibilities

• Build Immutable, Self-Healing Systems: Design, build, and optimize multi-region, high-availability AWS infrastructure. You will drive our evolution from hand-crafted environments to a standardized, globally scalable fleet managed entirely through code.
• Drive Resiliency & Automation: Replace manual toil with self-healing, automated infrastructure using GitOps, modern CI/CD pipelines, and IaC.
• Deep Observability & Resiliency: Build end-to-end telemetry (Prometheus, Grafana, OpenTelemetry) to proactively spot bottlenecks. You will own incident management and conduct blameless post-mortems to continuously harden our reliability baseline.
• Force-Multiply Engineering Velocity: Partner closely with Product, Security, and Core Engineering teams and lead from the front by designing "Golden Paths" that strip away friction for feature teams. You will influence company-wide engineering practices and mentor the organization on how to move fast with high alignment.
• Customer Impact: Architect and operate high-performance, low-latency private connectivity to optimize the experience for external customers. Partner strategically with internal engineering teams at the design and architectural level for platform enablement and adoption.

Requirements

• Ownership at Scale: 10+ years of experience taking personal ownership of outcomes in complex, large-scale distributed systems within mission-critical environments.
• AWS & Infrastructure-as-Code: Advanced proficiency in AWS ecosystems leveraging Terraform to build reproducible environments.
• Containerization & Orchestration: Strong, hands-on experience with Kubernetes (EKS), Docker, and GitOps workflows (Flux, Argo, GitHub Actions).
• Automation & Scripting: Strong coding skills in Python, Go, or Bash to automate infrastructure and build operational tools.
• Observability Expertise: Deep experience implementing Prometheus, Grafana, or OpenTelemetry at scale.
• Security & Networking Foundations: Solid understanding of cloud security, API Gateways, load balancing, and network isolation, viewing security as a fundamental engineering constraint, not an afterthought.

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The role covers cloud infrastructure, enterprise IT, and the operational reliability of the platforms those systems run on.

You will work hands-on across our internal cloud foundations: landing zones, hybrid connectivity to data centers, and the infrastructure behind identity, collaboration, IT operations, and internal tooling.

The work is execution-heavy. You will also mentor junior engineers and contribute to team-level technical decisions.

Responsibilities

Cloud foundations and architecture (GCP, Azure and AWS)

• Provision and manage cloud resources within established landing zones, including compute, storage, IAM, and workload configuration.
• Manage IAM, service accounts, Workload Identity Federation, and Secret Manager for internal workloads, aligned with security baselines established by the cloud council.
• Build and maintain Infrastructure as Code using Terraform, including GCP-specific modules for project factory and IAM.
• Partner with Security and Networking teams to implement approved zero-trust and defense-in-depth patterns for internal cloud services.
• Contribute to cloud migrations and integrations tied to company growth, including acquisitions and platform consolidations.

Infrastructure you'll own

• You will build and operate the cloud infrastructure behind CoreWeave's internal IT platforms and enterprise tooling.
• Core enterprise platforms in GCP projects, multi-tenant Azure, and AWS.
• Shared internal services: VDI, bastion hosts, internal APIs, job runners, and internal tooling.
• GCP-native workloads on GKE, Cloud Run, or Compute Engine.

Operations, reliability, and automation

• Maintain the reliability of internal cloud environments, including performance, capacity, cost, and security posture.
• Set up and maintain monitoring, alerting, and logging across GCP, Azure, and AWS environments.
• Implement, test, and maintain backup, disaster recovery, and failover configurations based on defined recovery requirements.
• Identify bottlenecks and propose fixes across performance, security, and scalability.
• Build automation for common workflows using Cloud Build, GitHub Actions, or similar pipelines.
• Contribute to CI/CD pipelines for infrastructure deployment and management.
• Troubleshoot production issues, participate in incident response, and contribute to root-cause analysis and corrective actions.

Mentorship and collaboration

• Support and mentor less-experienced engineers through troubleshooting, documentation, code reviews, and knowledge sharing.
• Be a reliable technical resource for the team.
• Work with engineers across teams on system integrations.
• Explain technical ideas and trade-offs to engineers and non-engineers alike.

Requirements

• 7–10 years of experience as a Systems, Cloud, or Infrastructure Engineer supporting production environments.
• Strong hands-on GCP experience, including networking, IAM, compute, storage, security, and observability in multi-project environments.
• Working experience with at least one additional public cloud platform, preferably Azure or AWS, and the ability to apply equivalent infrastructure concepts across cloud providers.
• Strong hands-on experience using Terraform to provision and manage cloud infrastructure, including reusable modules, remote state, plan review, troubleshooting, and CI/CD-based deployment.
• Working knowledge of cloud networking, including VPCs/VNets, subnets, routing, DNS, firewalls, load balancers, peering, VPNs, and private connectivity.
• Experience managing IAM, service accounts, workload identities, secrets, and least-privilege access.
• Experience using Git-based development workflows, pull requests, code reviews, and automated validation.
• Experience operating Linux and Windows workloads in the cloud, including deployment, configuration, patching, hardening, and troubleshooting.
• Experience implementing monitoring, logging, alerting, dashboards, and operational runbooks for cloud infrastructure and workloads.
• Proficiency in at least one scripting language, such as Python, Bash, or PowerShell.
• Demonstrated ability to troubleshoot production issues across infrastructure, networking, IAM, operating systems, and application dependencies.
• Clear communication of technical decisions, risks, and trade-offs to technical and non-technical stakeholders.

Nice to Have

• Experience using AI-assisted development tools to accelerate infrastructure engineering, scripting, troubleshooting, and documentation.
• Familiarity with agentic AI concepts and experience building AI-enabled, end-to-end automation or operational workflows.
• Experience integrating AI models or agents with enterprise systems, APIs, cloud services, and automation platforms.

What We Offer

• Base salary range: $182,000 to $242,000.
• Comprehensive benefits program, including medical, dental, and vision insurance, company-paid Life Insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible childcare support, 401(k) with a generous employer match, flexible PTO, catered lunch, and a casual work environment.

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As an Applied Systems Engineering Rotation Engineer, you will move through different teams such as Architecture, Bring-up, and Production. You will collaborate with senior engineers and mentors on projects that help NVIDIA design, integrate, validate, operate, and improve large-scale GPU compute clusters.

Responsibilities:

• Contribute to system-level designs for large-scale accelerated computing environments, including reusable reference architectures and deployment-specific solutions.
• Evaluate, prototype, and validate emerging infrastructure, hardware, software, firmware, networking, storage, and accelerator technologies.
• Support end-to-end system integration, bring-up, validation, and production-readiness activities across cross-functional engineering teams.
• Define, document, and communicate engineering requirements, design tradeoffs, debug methods, findings, and recommendations.
• Analyze workload, telemetry, performance, reliability, and operational data to identify issues and improvement opportunities.
• Build or improve dashboards, automation, tools, and workflows that support issue detection, diagnosis, recovery, and technical decision-making.
• Present technical work and communicate risks, blockers, status, and recommendations through design reviews, project readouts, and cross-functional forums.

Requirements:

• Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Data Science, Mathematics, Physics, or a related technical field.
• Experience with software development or scripting in Linux, Bash, Python, C, C++, Java, Go, or similar technologies.
• Ability to analyze technical data, identify patterns, summarize findings, and communicate conclusions clearly.
• Interest in large-scale systems, AI infrastructure, datacenter systems, hardware/software integration, or distributed computing.
• Strong collaboration and communication skills, with a willingness to ask questions, learn quickly, and work across engineering teams.

Benefits:

• Equity
• Benefits

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You will craft and deploy distributed storage solutions, build automation tools, and ensure the efficient operations of our growing IT ecosystem. Collaboration with engineering teams will be essential to align infrastructure with their evolving needs, document best practices, and contribute to groundbreaking projects.

Responsibilities:

• Design, implement, and optimize on-prem HPC infrastructure supplemented with cloud computing.
• Design and implement scalable and efficient Storage solutions for data-intensive applications.
• Develop tooling to automate deployment, management, and monitoring of large-scale infrastructure environments.
• Document general procedures and practices, perform technology evaluations related to distributed file systems.
• Collaborate across teams to understand developers' workflows and gather infrastructure requirements.
• Influence and guide methodologies for building, testing, and deploying applications.

Requirements:

• BS in Computer Science (or equivalent experience) with 8+ years of relevant experience.
• 8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
• Experience with Enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage.
• Experience with parallel or distributed filesystems such as Lustre, GPFS.
• Python/Bash/Golang programming/scripting experience.
• Strong experience operating services in leading Cloud environments (AWS, Azure, GCP).
• Experience with multiple monitoring stacks.
• Excellent communication and collaboration skills.

Nice to Have:

• Background with RDMA (InfiniBand or RoCE) fabrics.
• Prior experience with HPC cluster management tools.
• Experience with containerization technologies like Docker, Kubernetes.

NVIDIA offers equity and benefits, and is considered one of the technology world's most desirable employers.

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In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-stack AI and ML system problems, and work on a team with direct responsibility for the success of internal and external customers’ AI and ML initiatives, including LLM performance evaluation and supporting new hardware in open-source frameworks.

Responsibilities:

• Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines.
• Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud, and solving complex problems in production.
• Work closely with the teams building the infrastructure software and accelerated frameworks that support today’s most compelling AI applications.
• Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk.
• Develop open-source tools and reference architectures to make it easier to build and manage machine learning and AI workloads, pipelines, and systems at scale.

Requirements:

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.
• 8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally targeting large‑scale production systems.
• Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle, from exploratory analysis to production systems.
• Facility with systems topics including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking at datacenter scale.
• Solid scripting and programming skills in languages like bash and Python and solid systems programming skills in a language like C++, Go, or Rust.
• Experience using machine learning or deep learning frameworks for training and inference.
• Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, trade‑offs, and recommendations to both engineering and leadership audiences.
• A clear record of engineering discipline and execution on interesting projects, whether you’re working alone or collaborating on a team.

Preferred qualifications:

• Experience contributing to and working in open-source communities.
• Experience with the NVIDIA ecosystem, including DGX systems, CUDA, NeMo, RAPIDS, Triton, NIM, and NVIDIA networking technologies such as InfiniBand, NVLink, and RoCE.
• Experience and familiarity building machine learning systems in a security-critical environment and distributed training and inference frameworks.
• Familiarity with MLOps practices in a cloud‑native context: containerization, CI/CD pipelines, workflow automation, observability stacks, and GitOps workflows.
• Direct experience drawing on deep systems knowledge to diagnose and fix performance or correctness problems that span multiple layers of the application stack, like hardware, networking, accelerator, hypervisor or OS, compilers or runtimes, application code, and libraries.

NVIDIA offers competitive salaries and a generous benefits package.

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In this role, you will oversee our IAM architecture, Okta configuration, and broader SaaS ecosystem, including Google Workspace, Slack, Jira, Jamf, and Intune.

Your expertise will drive automation, protect sensitive data, mitigate security risks, and maintain compliance in a heavily regulated industry.

Key responsibilities:

• Design, implement, and maintain IAM platforms
• Administer Okta, directory services, MFA, and password management
• Manage core collaboration tools, including Google Workspace, Microsoft O365, Slack, and Jira/Confluence
• Oversee unified endpoint management using Jamf and MS Intune
• Build automated workflows for provisioning, deprovisioning, and application access
• Establish role-based access control, entitlement reviews, and access certification processes
• Lead SSO integration for new SaaS applications
• Collaborate with the Security team to embed security best practices
• Author technical operating procedures, engineering roadmaps, and compliance policies
• Provide high-tier technical leadership and escalation support

Requirements:

• 5+ years of experience in IAM systems engineering and broad IT infrastructure management
• Deep, hands-on mastery of Okta configuration, policy creation, and application integration
• Strong knowledge of IAM standards, including SAML, SCIM, OAuth, OIDC, IGA, RBAC, and LDAP
• Experience with scripting (e.g., Python, Bash, or PowerShell) and Okta Workflows
• Proven track record managing Google Workspace, Slack, Jira, Jamf, and Intune
• Bachelor's degree in Computer Science or a related field
• Compliance mindset and excellent problem-solving abilities

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What You'll Do:

The Runtime & GPU Systems team builds and operates secure, high-performance environments for multi-tenant Kubernetes platforms at scale. Our team sits at the intersection of container runtimes, lightweight virtualization, GPU infrastructure, and Linux systems engineering. We partner closely with security, platform, and GPU infrastructure teams to deliver robust, isolated, and efficient execution environments for AI-driven workloads.

About the role:

As a GPU & Runtime Systems Engineer, you will design, build, and evolve secure sandboxed runtime environments for Kubernetes workloads, focusing on runtime isolation, performance, and security. You will integrate container runtimes, lightweight VMs, and virtualization technologies to support GPU-accelerated workloads in multi-tenant environments. Day-to-day, you'll develop GPU-aware sandboxing and scheduling strategies, optimize containerization and I/O performance for latency-sensitive workloads, and influence architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.

Some of what you'll work on:

• Design and implement secure execution environments for containerized and virtualized workloads.
• Build GPU-aware scheduling, isolation, and resource management strategies for multi-tenant workloads.
• Optimize container, VM, and I/O performance across GPU-accelerated workloads.
• Conduct profiling, benchmarking, and performance tuning for runtime, virtualization, and GPU stacks.
• Contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.
• Collaborate with security, platform, and infrastructure teams to define and implement runtime isolation and performance standards.

Who You Are:

• 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
• Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures, including controllers, operators, or scheduling extensions.
• Experience designing, implementing, or operating secure execution environments (container runtimes, sandboxed workloads, or virtualized systems).
• Practical experience with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU).
• Experience supporting GPU-accelerated workloads in multi-tenant environments, including GPU scheduling, isolation, device passthrough, mediated devices, or virtualization.
• Proficient in systems-oriented programming (Go, C/C++, Rust, Bash) with strong Linux internals knowledge.
• Skilled at diagnosing and resolving complex performance, reliability, or isolation issues across containers, VMs, and infrastructure.
• Experienced in profiling, benchmarking, and tuning performance across runtime, virtualization, and GPU stacks.

Preferred:

• Experience building systems for safely executing untrusted or sensitive workloads in shared environments.
• Familiarity with GPU drivers and low-level virtualization or I/O optimization techniques.
• Experience defining threat models and implementing runtime security policies in multi-tenant systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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Responsibilities:

• Maintain data center operations to ensure service availability and reliability
• Conduct hardware and network diagnostics and repairs
• Perform root cause analysis of hardware and software failures
• Train internal teams
• Develop documentation
• Provide technical support to data center teams
• Develop scripts to update server and networking hardware
• Maintain inventory
• Assemble and install equipment
• Perform maintenance of test and tool equipment
• Travel up to 10% of the time to other data center locations as required
• Respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call

Requirements:

• Computer hardware experience (troubleshooting, assembling)
• Linux Operating System experience
• Ability to regularly transport and position equipment weighing up to 50 lbs
• Ability to remain in a stationary position (sitting or standing) for extended periods
• Ability to maneuver in cramped or elevated spaces
• Ability to perform tasks requiring fine motor skills
• Availability to work a flexible schedule within a 24/7 environment
• Excellent time management, organizational, and communication skills
• Must be able to prioritize tasks and react quickly to issues

Preferred qualifications:

• Hands-on or education-based experience with computer hardware, data center experience, computer networking experience, Python, Bash, or other scripting languages experience, experience with Cisco IOS and/or Juniper JunOS, or an Associate's Degree or equivalent experience in an IT-related field

The base salary range for this role is $65,000 to $83,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, CoreWeave offers a comprehensive benefits program, including medical, dental, and vision insurance, company-paid life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, and employee stock purchase program.

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Responsibilities

• Primary responsibilities will include deploying, managing, and validating High-Performance Storage infrastructure in AI Factory Linux-based environments.
• Be the domain expert with customers during planning calls through implementation.
• Handover-related documentation and perform knowledge transfers required to support customers.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Requirements

• Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
• 5+ years in providing in-depth support, deployment, and validation services; solving problems for hardware and software based storage products.
• Expertise in systems and storage concepts and technologies including: SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RMDA (RoCEv2/InfiniBand.)
• Experience with storage benchmarking tools such as FIO, IO500, IOR, HPL, NCCL tests, MLPerf storage.
• Linux system administration, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring)
• Scripting proficiency (Bash, Python, Ansible, etc.).
• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
• An ability to travel to customer sites within the region up to 20% of the time.

Nice to Have

• Experience with parallel and distributed filesystem products (Ceph, Weka.io, Vast, DDN, etc.)
• Expertise in optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.
• Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fabrics, congestion control, and datacenter topologies.

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The CTO Platform Engineering & Architecture (CTOp) organisation sits within the Chief Technology Office (CTO) and is responsible for building next-gen application and AI platforms that remove toil and reduce operational overhead through integrated controls and open-source solutions – making software delivery faster, safer, and more reliable every time.

The position is a hands-on self-driven, highly autonomous technical engineer who is genuinely passionate about modern cloud architecture, automation, and platform engineering. The expectation for this role is that you are someone who doesn't wait for a detailed specification to act. Instead, you identify friction, propose solutions, and drive initiatives to completion.

Role Overview This is a high-visibility Subject Matter Expert (SME) position operating at the intersection of hands-on platform engineering, solution architecture, and technical advisory. You will lead the end-to-end building of core platform deliverables while directly consulting with customers and partner engineers to architect, validate, and deliver robust cloud solutions.

Key Responsibilities

1. Autonomous Execution & Platform Deliverables

• Drive Platform Roadmap: Autonomously lead the design, build, and evolution of enterprise-grade cloud landing zones, developer self-service tools, and platform primitives.
• IaC & Automation: Write reusable, production-grade Infrastructure as Code (IaC) and deployment pipelines to enable seamless platform delivery.
• Kubernetes Ecosystem: Architect and maintain container platform primitives (EKS/AKS/GKE), GitOps workflows, and ingress/networking layers.
• Ownership & SRE: Take end-to-end accountability for platform reliability, performance tuning, cost optimisation, and observability.

1. Customer Consultancy & Engineering Solutioning

• Technical Advisory: Serve as the primary SME in technical discovery sessions, customer design reviews, and architectural alignment meetings.
• Collaborative Solutioning: Partner directly with software engineers, product owners, and client leads to turn business problems into executable technical blueprints.
• Technology Advocacy: Evaluate new cloud technologies and frameworks, championing best practices across internal teams and customer environments.

Required Mindset & Technical Qualifications:

• High autonomy: Demonstrated track record leading complex technical initiatives with minimal supervision.
• Technology enthusiasm: Active interest in the evolving cloud-native landscape (Kubernetes, platform automation, GitOps, zero-trust).
• Consultative presence: Strong verbal and written communication skills; confident whiteboarding solutions and advising senior/executive stakeholders.
• Enterprise navigation: Proven ability to deliver in a large, regulated, matrix organisation - working effectively across security, risk, architecture, and operations.

Full-Stack Infrastructure Capabilities

• Public cloud: SME-level public cloud skills in a multi-cloud setting. This role is GCP-focused, but we’re open to strong AWS/Azure practitioners motivated to transition to GCP.
• Infrastructure as Code: Terraform, OpenTofu, Pulumi, or native IaC tooling.
• Containers & orchestration: Deep hands-on expertise with Kubernetes (GKE/EKS/AKS), Helm, and container security.
• CI/CD & GitOps: Hands-on delivery experience with GitHub Actions, GitLab CI, Argo CD, or Flux.
• Networking & security: VPC/VNet architectures, IAM/RBAC, zero-trust patterns, and ingress control.
• Scripting/tooling: Proficiency in Python, Go, or Bash for automation.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Workforce Identity Cloud

Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities,like reducing costs, and doing more for your customers.

If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools.

Position Overview:

The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh.

Key Responsibilities:

• Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms.
• Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency.
• Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCs, RDS, IAM, and more.
• Implement best practices for cost management, scaling, and security within AWS.
• Utilise Helm to automate and streamline the deployment of applications and services to Kubernetes clusters.
• Create, maintain, and manage Helm charts for production-ready deployments.
• Implement and manage Karpenter to dynamically scale Kubernetes clusters in response to workload demands.
• Configure and manage Istio to provide service-to-service communication, security, and observability within the Kubernetes clusters.
• Enable fine-grained traffic management, service discovery, and policy enforcement.
• Automate the deployment, scaling, and management of infrastructure and applications.
• Work with CI/CD pipelines to ensure a seamless flow from development to production with minimal downtime.
• Respond to incidents, troubleshoot, and resolve system issues related to performance, availability, and security in a timely and effective manner.
• Design and implement secure cloud infrastructure with appropriate access controls, network security, and compliance frameworks.
• Create and maintain detailed documentation for Kubernetes platform setup, operational procedures, and best practices.
• Promote knowledge sharing across teams.

Required Qualifications:

• 4+ years of experience with Kubernetes/Helm;
• 4+ years of Experience with Terraform.
• 5+ years of Experience with AWS
• Experience with multi-region cloud environments.
• Proven experience with AWS (EC2, RDS, S3, CloudFormation, IAM, etc.) and solid understanding of cloud-native architectures.
• Strong expertise in Kubernetes platform creation, management, and optimisation (e.g., setting up highly available clusters, networking, and storage).
• Hands-on experience with Helm for Kubernetes application deployment and management.
• Practical experience with Karpenter for dynamic scaling of Kubernetes clusters and optimising resource usage.
• Expertise in managing and securing Istio for service mesh, including traffic management, security, and observability features.
• Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI, Terraform, Ansible, Spinnaker).
• Strong scripting and automation skills in Python, Bash, or Go for infrastructure management and platform automation.
• Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, CloudWatch, and ELK Stack.

Preferred Qualifications:

• Understanding of security best practices for cloud platforms and Kubernetes (e.g., role-based access control (RBAC), encryption, and compliance frameworks).
• Familiarity with Docker and containerisation principles.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).
• Certifications (Preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS Certified DevOps Engineer are highly desirable.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
• Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid

P25727_3531674

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000-$267,000 USD Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$174,000-$239,000 USD

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $177K - $300K per year, with generous equity, performance-related bonuses, and the following benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

About the Team:

OpenAI's Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. The team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models.

Responsibilities:

As a Hardware Test Engineer, you will work on Machine Learning/AI hardware system projects to craft solutions for current and future data center deployments. You will bring a strong understanding of hardware system testing, excellent project management skills, and the ability to collaborate across multiple teams to ensure efficient lab operations.

Responsibilities include:

• Designing, implementing, and executing comprehensive test plans to ensure the reliability, performance, and scalability of supercomputing hardware systems
• Developing detailed test plans and methodologies tailored to hardware components, including processors, memory modules, custom accelerators, and interconnects
• Collaborating with hardware design, manufacturing, firmware teams, and vendors to identify, analyze, and resolve issues affecting hardware, power, thermal, and high-speed interconnects
• Performing in-depth debugging on the hardware system
• Utilizing advanced diagnostic and measurement tools to capture performance metrics and analyze system behavior
• Developing and maintaining automation scripts to streamline testing processes
• Effective communication to clearly document test results, report defects, and collaborate with cross-functional teams

Requirements:

• At least 10 years of industry experience, including experience testing or supporting hardware design teams for datacenter applications
• Proven experience in hardware testing and validation, with hands-on experience with oscilloscopes, power supplies, analyzers, and other test instruments
• Strong understanding of electrical, power, and thermal testing methodologies
• Expertise with protocol of common interfaces such as SPI, I2C, USB, DDRx
• Hands-on experience with high-speed electrical and thermal test equipment such as oscilloscopes, VNA, TDR, thermal cameras, heat sinks, and test chambers
• Experience in using Cadence Allegro and automation/scripting
• Strong bias toward action, and won't take no for an answer
• Experience and good knowledge of system testing from xPUs, board, rack level to data center level
• Strong intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing that information clearly and concisely with others
• Comfortable with ambiguity and rapidly changing conditions
• Excellent analytical, problem-solving, and troubleshooting skills

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CA$140K – CA$188K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
• Paid time off: accrual of 20 days per calendar year
• 12+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick time

About the Team

Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails.

About the Role

We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations.

This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it.

In this role, you will:

• Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies.
• Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces.
• Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements.
• Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations.
• Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership.
• Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes.
• Build hands-on solutions,SQL analyses, scripts, dashboards, LLM eval workflows, evidence enrichment, routing logic, and lightweight automations,that improve decision quality and reduce manual effort.
• Partner with Policy, Integrity, Safety Systems, Security, Legal, Product, Engineering, and Investigations to operationalize changes and drive launch readiness.

You might thrive in this role if you have:

• 8+ years of hands-on cybersecurity experience in offensive security, threat intelligence, incident response, security research, red teaming, application security, DFIR, malware analysis, or a related field.
• Can reason deeply about attacker tradecraft, vulnerability exploitation, credential abuse, malware, persistence, evasion, exfiltration, cloud or identity abuse, and ambiguous dual-use activity.
• Have built or improved high-stakes operations, reviewer programs, QA systems, escalation workflows, or vendor/BPO programs.
• Can turn complex cyber and policy judgment into reviewer-usable SOPs, decision trees, training, and concise written recommendations.
• Are comfortable using SQL, Python, C/C++, JavaScript, PowerShell, and Bash, APIs, LLM tooling, or automation to solve operational problems.
• Understand human-in-the-loop automation, evaluations, monitoring, holdouts, and fallback paths for sensitive workflows.
• Operate independently in ambiguity, communicate clearly across technical and non-technical audiences, and bring sound judgment and discretion when handling sensitive material.
• Experience with trust and safety, platform abuse, cyber misuse of AI systems, or LLM safety.

Nice to have:

• Experience with golden sets, classifier or prompt evaluations, and reviewer-quality programs.
• Experience enabling global vendor reviewer operations.

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As a Firmware Engineer, you will perform integration of Chip Design RTL drops to NIC Firmware, work on bringing up next-generation NIC devices on Emulation systems, and closely collaborate with Chip Design, Firmware, and Software teams during integration activities. You will also extend NIC Firmware code support for new devices and improve the team's work efficiency by adapting methodologies and automating routine activities.

The ideal candidate will have a B.Sc. in Electrical Engineering / Computer Science / Computer Engineering, 2+ years of experience, knowledge of computer structure & operating systems, and experience in Python & Bash. Previous experience in Pre-Silicon activities, Real-Time or Embedded software development, and knowledge of Hardware verification concepts and tools are advantages.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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The Networking Business Unit (NBU) builds high-speed interconnects that switch thousands of GPUs into a single AI supercomputer.

As a Software Architect, you will:

• Design and implement network validation methodologies for system-level testing
• Build systems that orchestrate millions of concurrent IO operations, inject chaos at the infrastructure layer, and expose system faults
• Develop systems that capture, store, and process TBs of telemetry data for root-cause analysis and system-level insights
• Advance AI-driven approaches to test automation
• Establish engineering practices and produce clear, data-driven reports

Requirements:

• B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience
• 12+ years of experience in developing large-scale software projects
• Strong distributed system experience and system-level debugging skills
• Strong software skills: C/C++/Rust, Python, Bash
• Experience building automation frameworks and validation tools
• Experience building large-scale infrastructure platforms or reliability engineering systems
• Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system behavior under stress

Preferred qualifications:

• Background with RDMA / RoCE / AI networking (NCCL)
• Experience with L2/L3/L4 networking protocols
• Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField)
• Background in performance analysis, Kubernetes, or cloud environments
• Background in chaos engineering, fault injection, or simulation systems

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Job Summary: As a Technical Lead, you will develop validation methodologies and automation frameworks, debug, analyze performance, and work on cutting-edge AI networking technologies at scale.

Responsibilities:

• Review system and product requirements, design validation methodologies, and develop comprehensive test plans for networking technologies in large-scale AI cluster solutions.
• Develop and maintain benchmarks, automation tools, and scripts for test execution, environment setup, log collection, and data analysis.
• Lead end-to-end investigation of complex issues, reproduce real-world scenarios, analyze logs, and drive issues to root cause and resolution.
• Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities.
• Collaborate with software and hardware development teams to debug networking technologies.
• Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry.
• Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes.

Requirements:

• B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience.
• 8+ years of experience in networking, system validation, or related domains.
• Proven experience debugging complex production systems.
• Ability to read, debug, and reason about C/C++ code.
• Strong scripting and automation experience using Python, Bash, and/or Ansible.
• Deep understanding of distributed systems.
• Ability to drive technical alignment across teams and make high-quality architectural decisions.

Nice to Have:

• Experience with large-scale clusters or distributed systems.
• Familiarity with NVIDIA networking solutions.
• Background in performance analysis, Kubernetes, or cloud environments.
• Background in chaos testing, fault injection, or simulation systems.

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Responsibilities:

• Design, implement, and maintain IAM platforms
• Administer Okta, directory services, MFA, and password management
• Manage core collaboration tools like Google Workspace, Slack, and Jira
• Oversee global Mac and Windows device management using Jamf and Intune
• Build automated workflows for provisioning and deprovisioning
• Establish role-based access control and entitlement reviews
• Lead SSO integration for new SaaS applications
• Collaborate with the Security team to embed security best practices
• Author technical procedures, roadmaps, and compliance policies
• Provide high-tier technical leadership and escalation support

Requirements:

• 5+ years of IAM systems engineering experience
• Deep Okta expertise
• Strong knowledge of IAM standards like SAML, SCIM, OAuth, and LDAP
• Experience with scripting and Okta Workflows
• Proven track record managing Google Workspace, Slack, Jira, Jamf, and Intune
• Bachelor’s degree in Computer Science or equivalent experience
• Compliance-first attitude
• Excellent problem-solving and communication skills

The US base salary range for this position is $130,000-$170,000 USD.

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Key Responsibilities:

• Enterprise DevSecOps Architecture & CI/CD Security: Architect and scale enterprise-grade CI/CD and deployment frameworks across diverse systems.
• Shift-Left Security Pipeline: Integrate automated SAST, DAST, Software Composition Analysis (SCA), and secrets detection into workflows.
• Secrets & Supply Chain Management: Standardize secrets management and safeguard third-party dependencies, API integrations, and package deployments.
• Edge, WAF & Network Security: Manage, configure, and optimize enterprise CDN policies via Cloudflare.
• Identity Access and Platform Hardening: Collaborate with InfoSec to manage identity policies, RBAC, OAuth 2.0, JWT authentication, and SAML/SSO integrations.
• Observability, Incident Response and Auditing: Build and optimize real-time SIEM logging and security analytics in Splunk.
• Cross-Functional Leadership: Partner with Enterprise Architects, Engineering leads, and Information Security to establish DevSecOps standards.
• DevSecOps Culture: Drive self-service tooling, create developer security guidelines, and mentor senior and mid-level engineers.

Required Qualification and Experience:

• 8+ years of hands-on experience in DevSecOps, Site Reliability Engineering (SRE), or Security Engineering.
• Proven experience securing and automating deployments across two or more enterprise platforms.
• Deep expertise with modern SCM and automation pipelines.
• Advanced hands-on experience managing Cloudflare.
• Proficiency in embedding SAST/DAST/SCA and secrets scanning tools into developer workflows.
• Expertise with Splunk or Datadog for log aggregation.
• Mastery in Python, Bash, or Go, alongside Infrastructure-as-Code (Terraform).

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The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA's Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios.

Responsibilities:

• GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as Edge-LLM, TensorRT, NVIDIA optimized Frameworks (e.g. TensorFlow, PyTorch, MxNET, etc.)
• Be responsible for functionality, compatibility, and performance tests in DL SW stack release.
• Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
• Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day-to-day assistance.

Requirements:

• Pursuing MS or higher degree in CS/EE/CE.
• Scripting language (Python, Perl, bash), Linux knowledge is required.
• Experiences in C/C++ programming is a plus.
• Familiarity with any Deep Learning Framework is a strong plus.
• Good communication skills, fluent oral and written English.
• Experience with AI tools.

Preferred Qualifications:

• Familiarity working with NVIDIA GPU hardware is a strong plus.
• Background with NVIDIA GPU Computing (CUDA) is a strong plus.
• Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.

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Responsibilities:

• GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as cuDNN, TensorRT, and NVIDIA optimized Frameworks (e.g., TensorFlow, PyTorch, MxNET)
• Functionality, compatibility, and performance tests in DL SW stack release
• Collaborate with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans
• Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, and bug fixing

Requirements:

• Pursuing MS or higher degree in CS/EE/CE
• Scripting language (Python, Perl, bash), Linux knowledge required
• Experiences in C/C++ programming is a plus
• Familiarity with any Deep Learning Framework is a strong plus
• Good communication skills, fluent oral and written English
• Experience with AI tools

Nice to have:

• Familiarity working with NVIDIA GPU hardware
• Background with NVIDIA GPU Computing (CUDA)
• Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows, or enhance process automation

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Day 2 starts when a cluster is installed and validated: keeping the service healthy, adapting it as technology and customer demand change, and improving performance, stability, efficiency and economics over time.

You will work with engineers running AI clouds at scale on the problems that decide whether customers stay and whether the next generation of NVIDIA technology lands successfully.

Our job is to work hand in hand with NCPs to solve real problems and drive real optimizations, prove the answer, and turn it into something the next partner can use!

Responsibilities:

• Solve hard Day 2 operations problems at scale. Work alongside partner engineers to find the cause, prototype an approach, validate it under representative load, and leave behind a practice their team can operate.
• Make new technology Day 2 ready. Help partners prepare the operating model for new NVIDIA platforms, capacity, services, and use cases before customers depend on them, and help drive adoption in live environments without degrading service.
• Improve reliability, performance, and economics together. Use measures such as incident frequency, recovery time, utilization, and cost per token to show where the cloud is losing performance or margin - and whether the fix worked.
• Raise each partner's Day 2 maturity. Identify and help close the gaps that matter across people, process, tooling, telemetry, security, and incident response.
• Turn one solution into ecosystem capability. Convert validated work into operating procedures, reference architectures, assessments, automation, and agentic workflows that other NCPs can integrate into their standard operating model.
• Create the feedback loop only NVIDIA can. Spot patterns across partners early and bring clear field evidence to account teams, support, product, and engineering so repeated problems are fixed at the right level.

Requirements:

• BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field - or equivalent experience.
• 12+ years in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role; alternatively, 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure.
• Experience building, operating, or improving distributed infrastructure under real production load - not only designing or deploying it.
• Deep expertise in at least one part of the Day 2 stack, backed by hands-on work with large-scale GPU, HPC, or cloud infrastructure.
• Working experience across the broader operating platform, including Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry, and automation with Terraform, Ansible, Argo CD, or similar tooling.
• Strong Linux knowledge and enough Python, Bash, or similar experience to automate measurement, diagnosis, validation, or remediation.

Benefits:

• Competitive salaries
• Generous benefits package
• Equity

How to Apply:

Applications for this job will be accepted at least until August 25, 2026.

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Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe, large enterprises, sovereign governments, and the US military.

With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts.

Job Description

A Test Specialist will be responsible for running and operating functional and performance tests on flight hardware and software.

They will be testing PCBA's, subsystems, and full spacecraft over a wide range of environmental conditions such as vibration, thermal vacuum, and EMI/EMC.

They will directly run, process, and debug test failures on the floor and work with engineering to root cause solutions.

They are also responsible for maintaining, troubleshooting, and calibrating test equipment and test fixtures in the lab.

Responsibilities:

• Execute automated tests and reporting scripts for functional and performance testing of spacecraft electronics
• Plan and execute functional and performance test plans (both manual and automated test cases)
• Develop standard operating procedures for test operations and related processes to train test operators across all environments
• Provide first-level troubleshooting, assist root cause efforts, and implement corrective actions for test and support equipment failures
• Maintain, troubleshoot, and calibrate test and support equipment
• Provide Design for Manufacturing and Test feedback to optimize processes and test setups

Requirements:

• 2+ years of working experience testing complex electrical systems
• Experience working in a Linux environment, including usage of bash
• Programming experience (Python, C++, etc.)
• Hands-on experience using electrical test equipment (multimeters, oscilloscopes, or power supplies) and data acquisition systems
• Experience developing and executing test plans and procedures from requirements
• Strong sense of accountability, integrity, and team focus with extensive multitasking and organizational experience
• Must be willing to work all shifts, overtime and/or weekends as needed, including support of 24/7 operations for critical integration and test campaigns.

Bonus:

• Bachelor's degree in a science or engineering discipline
• DevOps software experience with networking, using and deploying container environments and utilizing tools like Docker and Kubernetes
• Experience with RF testing and the usage of network analyzers and signal generators
• Experience with designing and building electrical harnesses and connectors

Benefits

All our positions offer a compensation package that includes equity and robust benefits.

Base pay is just one component of Astranis's total rewards package.

Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

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The IT Operations team keeps Anthropic running , we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.

Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes, and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.

Responsibilities

End-User Support

• Triage and resolve issues across hardware, software, networking, and accounts , primarily through our ticketing system, with additional support via Slack and in-person
• Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
• Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
• Handle escalations requiring cross-team coordination
• Participate in an on-call rotation for urgent issues outside business hours
• Provide hands-on support for user technology, AV systems, conference rooms, and printers

Communication & Documentation

• Communicate clearly with users of all technical levels
• Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
• Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves

Operational Improvement

• Help streamline onboarding and other high-volume operations as the company scales
• Contribute to automation efforts
• Maintain and improve device management, identity, and access systems
• Assist with scripting (Bash, Python) to automate repetitive tasks

Requirements

• Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
• Are an excellent communicator who genuinely enjoys helping people solve problems
• Have strong troubleshooting skills and are methodical, curious, and persistent
• Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
• Have significant experience with Google Workspace administration
• Have experience with Slack administration , workspace management, permissions, and troubleshooting
• Have substantial experience supporting and administering additional SaaS tools
• Understand identity and access fundamentals , SSO, MFA, directory services
• Are familiar with MDM fundamentals and endpoint management concepts
• Have experience with basic scripting (Bash or Python) for automation
• Take ownership of problems and follow through until they're resolved
• Think beyond the immediate fix , you ask "why did this happen?" and "how do we prevent it?"
• Are organized enough to manage competing priorities without things falling through the cracks
• Propose solutions when you see a process that doesn't scale
• Are looking to develop deeper technical skills and take on more complex systems administration challenges over time

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As a Staff Infrastructure Engineer, you will join the Infrastructure team, which builds, operates, and improves the cloud-native stack for the entire engineering organization. You'll focus on AWS, Kubernetes, Terraform, ArgoCD, and GitHub Actions, along with shared services like identity and access, API gateway, and traffic management.

Your key accomplishments in the first 12 months will include:

• Establishing AI-assisted workflows as the team's default operating model
• Bringing inherited shared services under infrastructure-as-code with documented ownership and modernization roadmaps
• Delivering measurable cloud cost reduction and a reusable framework for cost vs. reliability tradeoffs
• Improving platform currency and upgrade discipline across shared services
• Reducing developer friction and support toil through automation

Responsibilities:

• Own the architecture, operating model, and modernization roadmap for cloud infrastructure and shared services
• Design, build, and operate AWS and Kubernetes infrastructure as code using Terraform, GitOps, and CI/CD
• Set standards and safe patterns for AI-assisted infrastructure work
• Harden security and compliance posture, focusing on least-privilege IAM and RBAC, identity and access management, and secrets hygiene
• Drive infrastructure optimization across reliability, scalability, developer experience, and cost
• Raise the technical bar across the infrastructure team through design review, mentorship, and enablement
• Participate in and improve the shared on-call rotation, incident response, and alerting

Requirements:

• 8+ years of experience in infrastructure, cloud, or platform engineering with deep hands-on AWS experience
• Proficiency with infrastructure-as-code using Terraform
• Kubernetes platform ownership experience
• Track record of taking ownership of ambiguous or under-documented systems
• Fluency with AI-assisted engineering tools and sound judgment on their application
• Security and compliance fluency in a regulated environment
• Staff-level partnership and influence

Preferred skills and experience:

• Identity and access platforms: Okta, OIDC, SAML
• API gateway and service networking: Envoy
• Scripting and automation in Python, Go, or Bash
• FinOps or cloud cost-optimization program experience
• Observability at platform scale
• Familiarity with cloud data warehouses like Snowflake

The pay range for this role is: San Francisco Bay Area and New York City: $215,000-$265,000 USD All Other US Locations: $187,000-$235,000 USD

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We are looking for a Senior Platform Software Engineer - Platform Architect to help define and implement OpenBMC-based management for systems that include host CPUs, BMCs, and coordinated top-of-rack Ethernet switching functionality.

Responsibilities

• Architect and implement OpenBMC support for platforms where the BMC handles host system functions and a coordinated ToR Ethernet switch subsystem.
• Define the end-to-end switch-management architecture across OpenBMC D-Bus services, bmcweb/Redfish APIs, persistent configuration, eventing, telemetry, security, and backend switch control interfaces.
• Develop OpenBMC object models and services for switch inventory, switch ASICs, front-panel ports, internal ports, PHYs, optics, retimers, VLANs, LAGs, FDB entries, counters, sensors, and health state.
• Implement L2 networking capabilities including port admin control, speed and FEC configuration, auto-negotiation, breakout, VLAN creation and membership, access/trunk mode, MAC learning, FDB management, flooding controls, link aggregation, and loop-prevention features.
• Build backend abstraction layers that can integrate with Linux switchdev/netlink, SAI/SONiC/SWSS-style components, DENT-style Linux networking components, or vendor switch ASIC SDKs.
• Work closely with hardware, ASIC, security, firmware, QA, manufacturing, and cloud infrastructure networking teams to influence board architecture, schematics, manageability interfaces, and production test strategy.
• Write and review design specifications, API documentation, code, unit tests, hardware-in-loop tests, integration tests, and QA plans required to productize the architecture.

Requirements

• Bachelor's degree or higher, or equivalent experience, in Computer Science, Electrical and Electronics Engineering, or a related field with 12+ years of relevant experience.
• Strong OpenBMC firmware development experience on x86 or ARM-based server environments, such as Yocto, systemd, D-Bus, phosphor services, bmcweb, Redfish, firmware update, device monitoring, and platform security.
• Hands-on experience with Ethernet switch architecture and L2 features such as VLANs, trunks, access ports, LAG/LACP, STP/RSTP, LLDP, FDB/MAC learning, storm control, ACLs, QoS, PHY management, and transceiver diagnostics.
• System management software experience with rack or blade server platforms, including IPMI, KCS, Redfish, PLDM, MCTP, SPDM, secure firmware update, attestation, and BMC-host communication.
• Strong programming and debugging skills in C/C++ and Python, with familiarity in Bash, Go, or Rust; ability to develop reliable Linux user-space services and review low-level system code.
• Excellent written and verbal communication skills, strong ownership, high engineering judgment, and a passion for solving hard multi-functional problems.

Nice to Have

• Contributions to OpenBMC, Linux networking, switchdev, SONiC, SAI, DENT, FRR, LLDP, OCP, DMTF, Redfish, or other open-source platform-management and networking projects!
• Experience building a switch network operating system, BMC-managed switch subsystem, or converged server/switch management architecture for hyperscale or enterprise platforms.

Expected Impact

• Deliver a reusable OpenBMC switch-management architecture that supports multiple switch backend implementations without tying the platform model to one ASIC vendor.
• Enable a unified management experience for host platform health, BMC management, and ToR switch network health through coherent inventory, configuration, telemetry, and lifecycle workflows.
• Improve platform reliability by providing safe defaults, validated configuration persistence, rollback, diagnostics, and strong separation between management and data-plane traffic.

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This role spans the full lifecycle of our SDN stack , from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response.

Responsibilities

• Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow)
• Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes
• Drive upstream contributions to OVN-Kubernetes and related open-source projects; Develop software for network observability , monitoring, telemetry, intelligent metering, and performance analysis
• Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments
• Own end-to-end observability for the SDN stack , build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs
• Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs
• Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure; Drive reliability through incident management, resource monitoring, and performance tuning
• Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling

Requirements

• BS/MS in Computer Science or related technical field, or a comparable blend of education and relevant experience
• 5+ years of proven experience in software development for large-scale distributed environments
• Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols
• Strong programming skills in C and Go; advanced scripting in Bash and Python
• Deep knowledge of Kubernetes, practical experience deploying and supporting CNIs (OVN-Kubernetes)
• Hands-on experience with Infrastructure-as-Code and deployment tools (Ansible, Terraform, ArgoCD, Flux)
• Experience designing and operating complex, multi-stage CI/CD pipelines
• Hands-on experience developing secure, high-performance services using gRPC and REST with TLS and strong authentication
• Strong knowledge of datacenter routing, switching, and Linux host/VM networking

Nice to Have

• Contributions to open-source projects (especially OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects)
• Experience with hardware acceleration (GPU, DPU or equivalent experience) for networking
• Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments
• SRE/DevOps top-level expertise , on-call, incident management, operations focused on service reliability targets, production ownership
• Experience with observability platforms and tools (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK)

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Shield AI is seeking a technical Customer Support Engineer to serve as the front door for Hivemind software support. This role is part customer service representative, part fleet-support engineer: you will intake customer issues, collect the right evidence, triage software and integration problems, route issues to the right owners, and help customers get back to mission-ready operation.

This is a customer-facing technical support role that requires technical depth to understand logs, configuration, versions, APIs, autonomy workflows, software deployment, operator context, and basic code behavior, paired with the discipline to communicate clearly, manage expectations, document outcomes, and keep support work moving through the correct process.

You will partner closely with Forward Deployment Engineers, Product Support Engineering, Sustainment Engineering, Product, Program, Licensing, and core Hivemind engineering teams to turn field-reported issues into actionable tickets, reproducible findings, workarounds, knowledge-base articles, and product-supportability improvements.

Responsibilities:

• Serve as the first technical support point of contact for Hivemind software customers, partners, operators, maintainers, and internal field teams.
• Own support intake quality: issue description, mission impact, severity, customer environment, software version, configuration, asset context, logs, screenshots, telemetry, and reproduction steps where available.
• Triage Hivemind Enterprise software, API, licensing/provisioning, deployment, configuration, operator-workflow, and integration issues across fielded systems.
• Distinguish Hivemind software issues from customer configuration, unsupported environment, partner/OEM integration, network, hardware-adjacent, training, or feature-request issues.
• Route issues to the right owner across support operations, Field Deployment Engineering, Product Support Engineering, Sustainment Engineering, Licensing, Product, Program, and core engineering.
• Provide customer-safe updates that explain status, next steps, workarounds, expected evidence, and escalation path .
• Help reproduce or validate issues in lab, simulation, software test, or representative environments when appropriate.
• Analyze logs, telemetry, version state, configuration, release notes, and known issues to support triage and root-cause investigation.
• Convert recurring support cases into knowledge-base articles, troubleshooting guides, known-issue records, intake improvements, diagnostic checklists, and product feedback.
• Support release readiness, update troubleshooting, license/provisioning workflows, customer onboarding, and deployment-to-sustainment handoffs.
• Track support metrics and patterns that help the Sustainment team understand customer pain points, common failure modes, response quality, and supportability gaps.

Projects you may work on:

• Building the Hivemind support intake form and minimum evidence checklist for customer software issues.
• Creating a triage playbook for Hivemind Enterprise/API, license/provisioning, software deployment, configuration, and operator-workflow problems.
• Turning repeated field questions into customer-facing knowledge-base articles and internal escalation runbooks.
• Working with an FDE to convert a deployment issue into a complete support case with logs, versions, impact, workaround, owner, and closure criteria.
• Helping Product Support Engineering identify the top recurring supportability gaps in Hivemind software releases.
• Supporting a customer update or release rollout by tracking incoming issues, workarounds, known issues, and customer-safe status.

Required qualifications:

• 7+ years of experience in technical customer support, fleet support, field support, software support, systems integration, applications engineering, technical operations, or a similar customer-facing technical role.
• Strong troubleshooting mindset and ability to turn ambiguous customer reports into structured, actionable support cases.
• Working knowledge of Linux systems, logs, configuration files, networking basics, software versions, and diagnostic workflows.
• Ability to read and reason about C++ code.
• Ability to understand software behavior across customer workflows, APIs, deployment state, configuration, and integration context.
• Strong written and verbal communication skills in customer-facing and cross-functional environments, including calm communication during high-pressure support situations.
• Ability to manage ticket hygiene, severity, ownership, customer updates, evidence requests, escalation paths, and support boundaries with discipline.
• Ability to write concise support notes, troubleshooting guides, known-issue summaries, and customer-safe status updates.
• Comfort operating within export-control, security, sensitive-data, customer-site, safety, commercial, and support-boundary requirements.
• Ability to possess a Secret DoD security clearance as required by customers.

Preferred qualifications:

• Experience supporting autonomy software, robotics, unmanned systems, aviation, defense software, mission software, ground control software, SDKs, APIs, or edge-deployed systems.
• Experience supporting deployed software, fleet operations, operational readiness events, test campaigns, or customer-site deployments.
• Familiarity with Python, Bash, SQL, log parsing, telemetry review, or lightweight diagnostic scripting.
• Experience with Jira, Azure DevOps, ServiceNow, Salesforce, Zendesk, Confluence, or similar support and knowledge-management systems.
• Experience with licensing, provisioning, release management, configuration baselines, offline/air-gapped environments, or customer update workflows.
• Experience using GenAI tools to accelerate troubleshooting, support summarization, documentation, knowledge capture, or support workflow automation.
• Active or prior security clearance.

XML job scraping automation by YubHub

This role spans the full lifecycle of our SDN stack , from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response.

Responsibilities:

• Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow)
• Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes
• Drive upstream contributions to OVN-Kubernetes and related open-source projects
• Develop software for network observability , monitoring, telemetry, intelligent metering, and performance analysis
• Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments
• Own end-to-end observability for the SDN stack , build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs
• Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs
• Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure
• Drive reliability through incident management, resource monitoring, and performance tuning
• Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling

Requirements:

• BS/MS in Computer Science or related technical field, or equivalent experience
• 8+ years of proven experience in software development for large-scale distributed environments
• Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols
• Strong programming skills in C and Go; advanced scripting in Bash and Python
• Deep knowledge of Kubernetes, practical experience deploying and supporting CNIs (OVN-Kubernetes)
• Hands-on experience with Infrastructure-as-Code and deployment tools (Ansible, Terraform, ArgoCD, Flux)
• Experience designing and operating complex, multi-stage CI/CD pipelines
• Hands-on experience developing secure, high-performance services using gRPC and REST with TLS and strong authentication
• Strong knowledge of datacenter routing, switching, and Linux host/VM networking

Preferred Qualifications:

• Contributions to open-source projects (especially OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects)
• Experience with hardware acceleration (GPU, DPU or equivalent experience) for networking
• Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments
• SRE/DevOps top-level expertise , on-call, incident management, operations focused on service reliability targets, production ownership
• Experience with observability platforms and tools (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK)

NVIDIA offers a competitive salary package and benefits.

XML job scraping automation by YubHub

The Developer Tooling team builds internal tools and platforms that improve the velocity and developer experience of Cloudflare's engineering teams. As a Principal Engineer, you'll build and operate the AI tools thousands of engineers use every day. It's a hands-on role with both engineering and operational responsibility.

Responsibilities:

• Ship features for our AI coding tools
• Build and improve AI and other developer-observability tools
• Own our internal MCP servers (GitLab, Confluence, Jira, Backstage etc.)
• Build AI agents
• Maintain our context engineering: shared configs, prompt libraries, and agent instructions
• Wire AI tooling into CI/CD pipelines
• Handle security and access controls for AI tools
• Track adoption and usage across the org
• Triage and respond to support in our tool channels
• Own projects end to end - from roadmap and prioritization through delivery and operation
• Mentor teammates and raise the bar through code review and design feedback
• Help respond to and prevent incidents on the tools engineers depend on

Requirements:

• Strong coding ability in TypeScript, Go, Rust and Bash
• Excellent debugging skills
• Source control experience including branching, merging, and rebasing
• Experience deploying and operating on Kubernetes or a similar platform
• Comfort breaking down complex problems, weighing trade-offs, and driving them to done
• A habit of mentoring and raising the bar for the people around you
• Experience with, or strong interest in, building tools that improve DevEx

Nice to have:

• Experience building LLM-based tools in production (agents, evals, cost and latency tuning)
• Experience with CI/CD systems and build tooling
• Experience building on Cloudflare's platform (Workers, AI Gateway)
• Operating Kubernetes on-premise at scale (SRE, systems design, or architecture)
• Building platforms across multiple zones and regions
• Prior work on a platform engineering or developer-productivity team
• Open-source contributions to developer tooling or AI projects

Compensation: Estimated annual salary of $230,000 - $281,000 (depending on location)

Benefits:

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance
• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan
• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

XML job scraping automation by YubHub

As an Identity and Access Management (IAM) Security Engineer, you will play a crucial role in designing, implementing, and scaling identity and access management solutions for Cloudflare's internal workforce and workloads. You will be responsible for safeguarding our systems, applications, and data by ensuring secure user access, authentication, and authorization mechanisms.

Responsibilities:

• Design, build, test, and deploy IAM solutions across authentication, authorization, and accounting
• Leverage Cloudflare products to secure our identities
• Build SSO integrations leveraging SAML, OIDC, OAuth, and SCIM
• Build and manage the Identity Governance and Administration platform
• Develop automated roles leveraging RBAC and ABAC
• Build and manage an access certification platform
• Build and manage a Privileged Access Management (PAM) platform
• Provide operational support of IAM systems including an on-call rotation that may include after hours calls

Desirable skills, knowledge and experience:

• 5-10 years experience of identity federation (SAML, OAuth, OpenID Connect, etc.)
• Experience implementing Identity Governance and Administration (IGA) solutions including lifecycle management, SCIM, birthright access (RBAC, ABAC), and access certifications
• Demonstrated ability to build production-grade automation scripts and tools. Must possess hands-on engineering experience leveraging AI/LLMs to solve operational or technical challenges.
• Experience with secure configuration of containerized application platforms (e.g. Kubernetes)
• Advanced scripting experience (Python, TypeScript, Bash, etc.)
• Experience implementing Zero Trust controls
• Experience integrating with applications and SaaS solutions
• Experience with Identity and Access Management policy application and enforcement
• Experience working with Identity Threat Detection & Response (ITDR)
• Experience working with infrastructure as code and configuration management tools like Terraform, Ansible, etc.

XML job scraping automation by YubHub

Day 2 starts when a cluster is installed and validated: keeping the service healthy, adapting it as technology and customer demand change, and improving performance, stability, efficiency, and economics over time.

You will work with engineers running AI clouds at scale on the problems that decide whether customers stay and whether the next generation of NVIDIA technology lands successfully.

Responsibilities:

• Solve hard Day 2 operations problems at scale. Work alongside partner engineers to find the cause, prototype an approach, validate it under representative load, and leave behind a practice their team can operate.
• Make new technology Day 2 ready. Help partners prepare the operating model for new NVIDIA platforms, capacity, services, and use cases before customers depend on them, and help drive adoption in live environments without degrading service.
• Improve reliability, performance, and economics together. Use measures such as incident frequency, recovery time, utilization, and cost per token to show where the cloud is losing performance or margin - and whether the fix worked.
• Raise each partner's Day 2 maturity. Identify and help close the gaps that matter across people, process, tooling, telemetry, security, and incident response.
• Turn one solution into ecosystem capability. Convert validated work into operating procedures, reference architectures, assessments, automation, and agentic workflows that other NCPs can integrate into their standard operating model.
• Create the feedback loop only NVIDIA can. Spot patterns across partners early and bring clear field evidence to account teams, support, product, and engineering so repeated problems are fixed at the right level.

Requirements:

• BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field - or equivalent experience.
• 12+ years in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role; alternatively, 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure.
• Experience building, operating, or improving distributed infrastructure under real production load - not only designing or deploying it.
• Deep expertise in at least one part of the Day 2 stack, backed by hands-on work with large-scale GPU, HPC, or cloud infrastructure.
• Working experience across the broader operating platform, including Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry, and automation with Terraform, Ansible, Argo CD, or similar tooling.
• Strong Linux knowledge and enough Python, Bash, or similar experience to automate measurement, diagnosis, validation, or remediation.

Benefits:

• Competitive salaries
• Generous benefits package
• Equity

Applications for this job will be accepted at least until August 16, 2026.

XML job scraping automation by YubHub

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

As a Security Operations Specialist on the Security Operations team, you'll defend Coinbase and its customers against some of the most sophisticated attackers in the world. This team - spanning CDRE, Insider Threat, Blockops and Threat Intelligence - protects billions of dollars in digital assets while scaling security coverage for the next billion crypto users.

Responsibilities

• Own second-line triage and response for security alerts, leading incident management through resolution and driving post-incident improvements
• Build and maintain runbooks for repeatable response patterns, then define and implement automation to eliminate manual toil
• Partner with teams across Security Operations to develop monitoring strategies informed by attacker investigation findings
• Drive Security monitoring and incident response for emerging Web3 product launches
• Strengthen team capabilities by mentoring peers, sharing knowledge, and participating in 24/7 rotational coverage across time zones

Required Skills and Experience

• 3+ years of hands-on security operations experience including incident response, alert triage, and network/host forensics across cloud, SaaS, and container environments
• Demonstrated ability to identify detection gaps and build coverage across diverse log sources (cloud platforms, SaaS applications, container orchestration, M&A integrations)
• Proficiency scripting automation workflows that reduce manual investigation and response time (Python, Bash, or equivalent)
• Working knowledge of networking fundamentals and operating systems (Windows, Linux, macOS) sufficient to analyze host and network-level artifacts
• Experience working with SIEM platforms and threat intelligence tooling at scale, including tuning alerts and improving signal-to-noise ratios
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

XML job scraping automation by YubHub

We’re combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.

We’re creating a fully integrated energy company: from developing energy generation projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

We are looking for a hands-on and technically skilled IT Operations Engineer / 2nd Line IT Engineer to keep Fuse running at full speed. You will own the day-to-day technical environment across two office locations, ensuring our applications, infrastructure and end-user hardware operate reliably so we can focus on building the future of energy.

Responsibilities

You will manage the applications, workspaces and hardware that our team relies on every day and will work closely with the wider IT and engineering teams to operate, automate, and grow our IT environment.

• Work across our London-based offices, external sites and our growing cloud presence
• Administer SaaS applications including but not limited to, Google Workspace, Iru, Revolut people, Linear
• Use AI tooling to automate manual IT related tasks.
• Own all office hardware problems: laptops, meeting room AV and printers
• Provide 2nd line IT support and assist in onboarding/offboarding staff

Requirements

• Proven 2nd line IT experience
• Experience working in a fast moving SaaS based IT environment
• Scripting ability in one or more languages, (Python, Bash etc)
• Confident supporting end-user hardware (Windows/macOS)
• Good debugging skills and willingness to pick up unfamiliar tasks

Desirable

• AWS cloud experience or cloud certifications
• Strong grasp of core networking (TCP/IP, routing, switching, VLANs, VPNs, Wi-Fi)
• Networking or security certifications (e.g. CCNP, Fortinet NSE)
• Bachelor's degree in a related field

Benefits

• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

XML job scraping automation by YubHub

You will craft and deploy distributed storage solutions, build automation tools, and ensure efficient operations of our growing IT ecosystem. Collaboration with engineering teams will be essential to align infrastructure with their evolving needs, document best practices, and contribute to groundbreaking projects.

Responsibilities:

• Design and implement on-prem HPC infrastructure supplemented with cloud computing to support growing IT needs.
• Design and implement scalable and efficient storage solutions for data-intensive applications, optimizing performance and cost-effectiveness.
• Develop tooling to automate deployment, management, and operational monitoring of large-scale infrastructure environments.
• Document general procedures and practices, perform technology evaluations related to distributed file systems.
• Collaborate across teams to understand developers' workflows and gather infrastructure requirements.
• Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization.

Requirements:

• BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years, or Ph.D. with 3 years.
• 8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
• Experience with enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage such as Cloudian MinIO.
• Experience with parallel or distributed filesystems like Lustre, GPFS.
• Python/Bash/Golang programming/scripting experience.
• Strong experience operating services in leading cloud environments (AWS, Azure, GCP).
• Experience with multiple monitoring stacks like Prometheus+Grafana, Elasticsearch+Kibana, Splunk, Zabbix.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Background with RDMA (InfiniBand or RoCE) fabrics.
• Prior experience with HPC cluster management tools like Slurm, PBS, LSF.
• Experience with containerization technologies like Docker, Mesosphere DCOS, Kubernetes (k8s).

NVIDIA offers equity and benefits, and applications will be accepted until August 14, 2026.

XML job scraping automation by YubHub

We are looking for a Business Systems Infrastructure Coordinator to build and own the technical spine that the rest of DivOps and the division run on: the business systems, tooling, access, and secured-program infrastructure that everyone depends on and no one wants to run.

Responsibilities

• Work the deficiency loop with the team. Partner with the DivOps team to surface where tooling, governance, and information flow are breaking down, prioritize against the team's operating rhythm, and close the gaps continuously. Improve and maintain what you build instead of standing something up and walking away.
• Own the collaboration and business-systems stack. Act as the primary administrator and champion for the division's core tools (Jira, Foundry, TeamCenter, GitHub, Confluence, Quip, dashboards, and internally hosted business systems), keeping them accurate, secure, and useful.
• Build and host internal tools end-to-end. Stand up, host, automate, and integrate internally developed division tools. Script and wire them together via APIs and keep them running without babysitting them.
• Design and optimize workflows. Translate real-world engineering, product, and program workflows into clean Jira boards, custom fields, automation rules, and Confluence spaces.
• Manage access and security. Own user provisioning, role-based permissions, and Okta/OpSec group management. Treat access, OpSec, and secured-program hygiene as first-class engineering work, so team members get quick access to what they need while secured-program data stays protected.
• Champion data hygiene. Audit systems regularly to archive stale projects, clean up permissions, and keep tracking tools matched to the real-time status of programs.
• Enable and train the team. Build user guides, document best practices, and run onboarding so new and existing team members use the systems effectively and consistently. Build for handoff to the second and third person on the team.
• Coordinate across the org. Work with Maritime / MDI counterparts on shared tooling patterns and playbooks, with CorpTech on platform decisions, and with CISO on security posture. Adapt what already works in the larger organization instead of building parallel systems that diverge.

Requirements

• 2-4+ years in technical operations, IT/systems administration, program coordination, or a similar builder-operator role, with a track record of taking end-to-end ownership.
• Comfortable in both a project-management tool and a Linux terminal. You don't need to be a full-stack software engineer, but you can administer Linux, script, and integrate via APIs, and you're not afraid of the command line.
• SaaS and identity administration experience. You can manage Okta and OpSec groups, stand up and host an internal tool, and debug it when it breaks.
• Collaborative-software power user. You are the person on your team who builds the dashboards, organizes the spaces, and makes the tooling work for everyone (Jira, Confluence, or equivalents).
• Strong process and logical-thinking skills. You design clean processes, manage permissions and access levels, and keep data organized and audit-ready.
• Strong communicator and enabler. You can translate a team's messy workflow into a structured system, and you enjoy onboarding and training others.
• Self-starter who operates with autonomy and judgment beyond the title. You move with about 60% of the information, ship, and iterate, and you will follow up a third time to drive accountability without positional authority.
• Detail-oriented. You track dozens of parallel workstreams and nothing falls through the cracks.
• Ability to work fully on-site at the Costa Mesa, CA facility, and to obtain and maintain a U.S. Security Clearance.

XML job scraping automation by YubHub

As the Data Center Supervisor at SpaceXAI Memphis, you will oversee the health and performance of our server and network infrastructure across data centers and global points of presence. You will lead a team of technicians, ensuring optimal operations and continuous improvement in our two most critical metrics: mean time to detect (MTTD) and mean time to repair (MTTR).

Your role encompasses hands-on technical leadership, process optimization, and cross-functional collaboration to maintain and enhance our data center operations.

Responsibilities

• Lead and mentor a team of data center technicians, fostering a culture of excellence and continuous improvement.
• Oversee the installation, maintenance, and troubleshooting of server and network infrastructure.
• Manage and optimize data center operations, including power supply cabling, fiber/optics labeling, and hardware decommissioning.
• Develop and enforce standard operating procedures (SOPs) and ensure adherence to safety protocols.
• Coordinate with engineering and provisioning teams to ensure seamless hardware intake and repair processes.
• Utilize internal applications for inventory and asset management, ensuring accurate tracking and reporting.
• Manage data center operations tickets via Jira, ensuring timely resolution and documentation.
• Collaborate with cross-functional teams to design and implement network layouts and solutions.
• Lead initiatives to improve operational efficiency and reduce downtime.
• Provide on-call support and respond to critical events as needed.

Basic Qualifications

• High school diploma or equivalency certificate.
• 5+ years of experience working with server, storage, compute, and network hardware.
• 5+ years of experience troubleshooting and repairing servers and networking infrastructure.
• Proven leadership experience in a data center or technical operations environment.

Preferred Skills and Experience

• Strong Linux skills, including navigating system directories, manipulating files in the Linux shell, user permission configuration, and package installation.
• Experience with Python, Bash or other scripting languages.
• Experience leading data center infrastructure projects.
• Familiarity with structured cabling (copper/fiber) and power and cooling concepts inside the data center.
• Excellent prioritization and time management skills.
• Ability to work in a fast-paced environment and maintain attention to detail.

Additional Requirements

• Position is subject to pre-employment and annual post-employment background checks.
• Ability to lift up to 35 lbs. unassisted.
• Comfortable working at elevated heights (up to 50 feet) with appropriate safety gear.
• Comfortable working in an environment requiring exposure to noise.
• Available to work evenings and weekends, as the schedule varies depending on site operational needs; flexibility is required.

XML job scraping automation by YubHub

As the Data Center Supervisor at SpaceXAI Memphis, you will oversee the health and performance of our server and network infrastructure across data centers and global points of presence. You will lead a team of technicians, ensuring optimal operations and continuous improvement in our two most critical metrics: mean time to detect (MTTD) and mean time to repair (MTTR).

Your role encompasses hands-on technical leadership, process optimization, and cross-functional collaboration to maintain and enhance our data center operations.

Responsibilities:

• Lead and mentor a team of data center technicians, fostering a culture of excellence and continuous improvement.
• Oversee the installation, maintenance, and troubleshooting of server and network infrastructure.
• Manage and optimize data center operations, including power supply cabling, fiber/optics labeling, and hardware decommissioning.
• Develop and enforce standard operating procedures (SOPs) and ensure adherence to safety protocols.
• Coordinate with engineering and provisioning teams to ensure seamless hardware intake and repair processes.
• Utilize internal applications for inventory and asset management, ensuring accurate tracking and reporting.
• Manage data center operations tickets via Jira, ensuring timely resolution and documentation.
• Collaborate with cross-functional teams to design and implement network layouts and solutions.
• Lead initiatives to improve operational efficiency and reduce downtime.
• Provide on-call support and respond to critical events as needed.

Basic Qualifications:

• High school diploma or equivalency certificate.
• 5+ years of experience working with server, storage, compute, and network hardware.
• 5+ years of experience troubleshooting and repairing servers and networking infrastructure.
• Proven leadership experience in a data center or technical operations environment.

Preferred Skills and Experience:

• Strong Linux skills, including navigating system directories, manipulating files in the Linux shell, user permission configuration, and package installation.
• Experience with Python, Bash or other scripting languages.
• Experience leading data center infrastructure projects.
• Familiarity with structured cabling (copper/fiber) and power and cooling concepts inside the data center.
• Excellent prioritization and time management skills.
• Ability to work in a fast-paced environment and maintain attention to detail.

Additional Requirements:

• Position is subject to pre-employment and annual post-employment background checks.
• Ability to lift up to 35 lbs. unassisted.
• Comfortable working at elevated heights (up to 50 feet) with appropriate safety gear.
• Comfortable working in an environment requiring exposure to noise.
• Available to work evenings and weekends, as the schedule varies depending on site operational needs; flexibility is required.

XML job scraping automation by YubHub

As the Data Center Operations Manager, you'll oversee the data center technicians who keep SpaceXAI's AI infrastructure running smoothly. This role is pivotal in ensuring our systems operate at peak efficiency, supporting the compute power behind our mission. You'll co-lead a skilled team, manage critical operations, and implement smart, sustainable solutions.

Responsibilities:

• Oversee Site Operations: Manage power, cooling, networking, and hardware deployments to ensure 99.999% uptime for SpaceXAI's AI compute systems.
• Guide Your Team: Lead and develop a team of Data Center Operations Technicians through training and performance evaluations.
• Streamline Processes: Take charge of hardware lifecycles, incident resolution, and inventory management.
• Connect Key Players: Coordinate between technicians, SpaceXAI's AI specialists, and external vendors.
• Drive Sustainable Solutions: Champion energy-efficient practices and sustainability efforts.
• Measure Success: Track and report key metrics like uptime, power efficiency, and issue resolution times.
• Handle Emergencies: Lead the team through urgent situations with clear direction.
• Optimize Operations: Build and refine processes to keep operations efficient and scalable.
• Support Expansion: Work with leadership to standardize best practices across sites.

Basic Qualifications:

• 5+ years of experience in data center operations or similar critical environments, with 3+ years managing technical teams.
• Proven ability to lead teams effectively in fast-paced, high-responsibility settings.
• Solid expertise in server hardware, cabling, and data center technologies.

Preferred Skills and Experience:

• Experience supporting compute-heavy environments like AI, machine learning, or high-performance computing.
• Proficiency with tools like Jira and managing collaborative workflows across teams.
• Strong analytical skills and the ability to explain technical concepts clearly to diverse audiences.
• Familiarity with scripting (e.g., Python, Bash) to automate tasks and boost team efficiency.
• A history of partnering with vendors, scaling operations, and advancing sustainability initiatives.

Additional Requirements:

• Ability to thrive in a dynamic, mission-focused environment with occasional on-call duties.
• Willingness to travel to data center locations as needed to support operations.
• Physical capability to handle data center tasks, including lifting up to 50 lbs, standing for long periods, and occasional ladder use

XML job scraping automation by YubHub

Our IT Services team is the backbone of our operational efficiency, ensuring seamless connectivity and technical assistance for all our employees, regardless of their location. We are seeking a skilled and helpful IT specialist to join our IT services team. This role provides advanced technical guidance and service to end-users, resolves complex IT issues, and collaborates with Level 1 technicians and senior IT staff to ensure seamless technology operations. The ideal candidate is a problem-solver with strong technical expertise, excellent communication skills, and a commitment to delivering outstanding customer service. This is a full-time position, onsite with occasional on-call or after-hours support.

Responsibilities:

• Provide second-line technical assistance for hardware, software, and network issues via phone, email, or in-person.
• Diagnose and resolve complex technical problems, including system crashes, network connectivity issues, and software conflicts.
• Manage and administer user accounts, permissions, and access controls in systems like Active Directory.
• Assist with the deployment, configuration, and maintenance of hardware (desktops, laptops, servers, and peripherals) and software applications.
• Monitor and maintain IT systems, including performing patch management, updates, and basic server administration.
• Document and update IT service tickets with detailed resolutions and escalate unresolved issues to Level 3 experts or specialized teams.
• Contribute to and maintain IT knowledge base articles and self-service wikis to enhance user self-sufficiency.
• Support IT projects, such as system upgrades, migrations, or new technology rollouts.
• Train and mentor Level 1 technicians, providing guidance on troubleshooting techniques and best practices.
• Ensure compliance with company IT policies, security standards, and data protection protocols.
• Provide new hire onboarding and offboarding service support

Basic Qualifications:

• Associate's or Bachelor's degree in Information Technology, Computer Science, or a related field preferred; equivalent experience considered.
• 2-4 years of experience in IT, helpdesk, or a related technical role.
• Strong knowledge of Windows and macOS operating systems, Microsoft Office Suite, and common enterprise software.
• Proficiency in troubleshooting network issues (TCP/IP, DNS, DHCP, VPNs) and basic server administration (Windows Server, Linux basics).
• Experience with IT service management tools (e.g., ServiceNow, Jira) and ticketing systems.
• Familiarity with virtualization technologies (e.g., VMware, Hyper-V) and cloud services (e.g., Google Workspace, Microsoft 365) is a plus.
• Excellent problem-solving, analytical, and customer service skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Relevant certifications (e.g., CompTIA A+, Network+, Microsoft Certified Professional, or ITIL) preferred.

Preferred Skills and Experience:

• Experience with scripting (e.g., PowerShell, Bash, Python) for automation tasks.
• Knowledge of cybersecurity best practices and tools (e.g., antivirus, endpoint protection).
• Ability to manage multiple priorities and meet deadlines under pressure.

Compensation and Benefits:

$61,200 - $91,800 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

About the Role:

We are seeking a skilled and helpful IT specialist to join our IT services team. This role provides advanced technical guidance and service to end-users, resolves complex IT issues, and collaborates with Level 1 technicians and senior IT staff to ensure seamless technology operations.

Responsibilities:

• Provide second-line technical assistance for hardware, software, and network issues via phone, email, or in-person.
• Diagnose and resolve complex technical problems, including system crashes, network connectivity issues, and software conflicts.
• Manage and administer user accounts, permissions, and access controls in systems like Active Directory.
• Assist with the deployment, configuration, and maintenance of hardware (desktops, laptops, servers, and peripherals) and software applications.
• Monitor and maintain IT systems, including performing patch management, updates, and basic server administration.
• Document and update IT service tickets with detailed resolutions and escalate unresolved issues to Level 3 experts or specialised teams.
• Contribute to and maintain IT knowledge base articles and self-service wikis to enhance user self-sufficiency.
• Support IT projects, such as system upgrades, migrations, or new technology rollouts.
• Train and mentor Level 1 technicians, providing guidance on troubleshooting techniques and best practices.
• Ensure compliance with company IT policies, security standards, and data protection protocols.
• Provide new hire onboarding and offboarding service support.

Basic Qualifications:

• Associate's or Bachelor's degree in Information Technology, Computer Science, or a related field preferred; equivalent experience considered.
• 2-4 years of experience in IT, helpdesk, or a related technical role.
• Strong knowledge of Windows and macOS operating systems, Microsoft Office Suite, and common enterprise software.
• Proficiency in troubleshooting network issues (TCP/IP, DNS, DHCP, VPNs) and basic server administration (Windows Server, Linux basics).
• Experience with IT service management tools (e.g., ServiceNow, Jira) and ticketing systems.
• Familiarity with virtualisation technologies (e.g., VMware, Hyper-V) and cloud services (e.g., Google Workspace, Microsoft 365) is a plus.
• Excellent problem-solving, analytical, and customer service skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Relevant certifications (e.g., CompTIA A+, Network+, Microsoft Certified Professional, or ITIL) preferred.

Preferred Skills and Experience:

• Experience with scripting (e.g., PowerShell, Bash, Python) for automation tasks.
• Knowledge of cybersecurity best practices and tools (e.g., antivirus, endpoint protection).
• Ability to manage multiple priorities and meet deadlines under pressure.

Compensation and Benefits:

$61,200 - $91,800 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

You will own and drive cybersecurity standards across production environments and testing lifecycles, spanning networking product lines manufactured at internal and contract manufacturing sites.

Responsibilities:

• Implement, automate, and maintain a robust and secure PKI infrastructure; build secure Key Provisioning and Code Signing workflows within ATE pipelines.
• Own lifecycle management of digital certificates and cryptographic identities across all product families (LinkX, switches, NICs).
• Partner with test developers to harden the Test Engineer Datapath, preventing data tampering or leakage.
• Implement security baselines, endpoint protection, and AD Privilege Management across test stations and MES systems.
• Define, enforce, and audit security policies across all internal and external production sites (Contract Manufacturers).
• Implement network segmentation between corporate IT, engineering networks, and the manufacturing floor.
• Own recurring security syncs and present security status updates to ITPE leadership.

Requirements:

• B.Sc. in Computer Science, Electronic/Electrical Engineering, Cybersecurity, or equivalent experience.
• At least 5 years of hands-on experience in a technical cybersecurity role (Infrastructure Security, OT/Industrial Security).
• Strong practical understanding of PKI, digital certificates, encryption, TLS, and key management.
• Experience with factory production flows, ATE data paths, or hardware production pipelines.
• Hands-on experience with network segmentation, OS hardening (Windows/Linux), and secure access controls.
• Proven track record of driving security projects end-to-end in sophisticated environments.
• Ability to enforce compliance standards across third-party manufacturing sites.
• Clear verbal and written communication in English.
• Self-reliant, proactive, and highly motivated.

Preferred Qualifications:

• Certifications: GICSP, CISSP, or specialized PKI/Crypto certifications.
• Scripting skills (Python, Bash, PowerShell) for security automation.
• Familiarity with OT/ICS security frameworks (NIST 800-82, IEC 62443).
• Experience in PE, chip validation, or manufacturing test environments.
• Familiarity with NVIDIA’s product security lifecycle or similar silicon vendor environment.

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In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments.

Responsibilities:

• Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
• Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)
• Identify performance bottlenecks across networking, compute, memory, and system architecture
• Develop and enhance performance analysis, benchmarking, and diagnostic tools
• Define performance test plans and establish expectations for new technologies and platforms
• Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
• Support telemetry collection and data refinement efforts to enable accurate performance analysis
• Maintain high standards for data quality, reproducibility, and traceability of performance results

Requirements:

• B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience
• 5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure
• Demonstrated expertise in performance analysis skills and methodologies
• Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control)
• Strong understanding of system performance metrics (latency, throughput, resource utilization)
• Exposure to hardware, firmware, or embedded telemetry environments
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in cross-functional, fast-paced R&D teams

Preferred Qualifications:

• Knowledge of CUDA, NCCL internals, and congestion control algorithms
• Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe
• Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow
• Experience with cloud platforms
• Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments

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The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require.

In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback.

Responsibilities:

• Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products.
• Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows.
• Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps.
• Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows.
• Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints.
• Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop.
• Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback.
• Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.
• Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds.
• Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture.

Projects you might work on:

• Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows.
• Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material.
• Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop.
• Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints.
• Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems.

Required qualifications:

• Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience.
• 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role.
• Strong technical background in software engineering, systems integration, or autonomy-adjacent systems.
• Proficiency writing, reading, and debugging modern C++ code.
• Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows.
• Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows.
• Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments.
• Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on.
• Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments.
• Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure.
• Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements.

Preferred qualifications:

• Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments.
• Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments.
• Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout.
• Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments.
• Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation.
• FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience.
• Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation.
• Active or prior security clearance, or eligibility to obtain one when required by program or customer need.

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Shield AI is seeking a senior, hands-on UxS Integration and Systems Expert to help ensure Hivemind can be developed, tested, demonstrated, and supported on representative unmanned systems with confidence. This role sits at the intersection of autonomy software, unmanned aircraft and robotic systems, onboard compute, networking, radios, sensors, flight controllers, simulation, test operations, and customer-facing demonstrations.

Responsibilities:

• Serve as a senior technical focal point for Hivemind integration and test readiness across unmanned aircraft, robotic systems, representative test vehicles, onboard compute, radios, sensors, payloads, and supporting ground equipment.
• Lead hands-on integration and troubleshooting efforts that span autonomy software, hardware, flight controllers, communications systems, networking, operator interfaces, and field operations.
• Partner with engineering, test, product, operations, field, and customer-facing teams to evaluate new platforms and determine how they can best support Hivemind development, validation, training, demonstrations, and customer objectives.
• Help take systems from early concept or benchtop integration through representative test, field execution, and operationally relevant demonstrations.
• Provide senior-level technical judgment on platform suitability, integration complexity, test readiness, risk, safety, maintainability, cost, availability, and customer value.
• Support test planning and execution across simulated, hardware-in-the-loop, live-vehicle, and flight-test environments while keeping the role focused on practical system readiness and evidence quality.
• Help define clear readiness criteria, test expectations, operating assumptions, and handoff points for representative hardware used by Hivemind teams.
• Diagnose complex cross-disciplinary issues and help route them effectively across software, autonomy, hardware, flight-test, networking, and operations stakeholders.
• Contribute to test methods, metrics, and evidence practices that improve confidence in Hivemind behavior across representative and real-world environments.
• Support automation, tooling, and data-review practices that improve repeatability, reduce manual burden, and make hardware-based testing easier to operate at scale.
• Capture and share practical knowledge from platform bring-up, test events, flight operations, and customer-facing demonstrations so teams can reuse lessons learned.
• Mentor engineers and operators on systems integration, hardware readiness, field troubleshooting, test discipline, and practical autonomy test execution.

Projects you might work on:

• Evaluating a new unmanned aircraft, ground robot, customer-selected platform, or lab setup for suitability as a Hivemind development, test, training, or demonstration asset.
• Leading technical preparation for a Hivemind test event or customer demonstration that depends on representative hardware, onboard compute, communications, sensors, and operator workflows.
• Advising a program team on the right level of platform fidelity needed for a pilot effort, internal test campaign, or customer-facing technical engagement.
• Supporting integration between Hivemind and flight-control systems, onboard compute, sensors, payloads, radios, ground-control equipment, or simulation environments.
• Helping a test team define practical readiness criteria, test coverage, data-review expectations, and evidence standards for hardware-based autonomy validation.
• Working with engineering and operations leaders to turn lessons from field or lab execution into reusable guidance, training, and better test practices.

Required qualifications:

• 10+ years of experience in UxS or UAS systems integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles.
• Demonstrated experience leading complex integration efforts across hardware, software, autonomy, networking, communications, sensors, and operational test environments.
• Strong practical experience bringing up, configuring, operating, and troubleshooting unmanned systems, onboard compute, flight controllers, radios, sensors, ground stations, and supporting test equipment.
• Working knowledge of Linux, embedded systems, networking, system configuration, data collection, logs, services, and field diagnostics.
• Experience with unmanned-systems autopilot or flight-control ecosystems such as PX4, ArduPilot, MAVLink, Pixhawk/Cube-class flight controllers, QGroundControl, Mission Planner, or equivalent systems.
• Experience supporting testing across simulation, hardware-in-the-loop, live-vehicle, field, or flight-test environments.
• Ability to develop and communicate test plans, readiness criteria, operating assumptions, technical recommendations, and post-test findings for cross-functional audiences.
• Strong analytical, problem-solving, and debugging skills across ambiguous, cross-disciplinary technical issues.
• Ability to lead through influence across engineering, test, product, operations, field, and customer-facing teams.
• Familiarity with scripting, automation, or data-analysis workflows using Python, Bash, MATLAB, or similar tools.
• Strong ownership, urgency, and judgment in fast-moving environments where requirements, platforms, and constraints may evolve quickly.
• Ability to comply with export-control, safety, security, customer-site, and mission-specific operating requirements.
• Ability to obtain and maintain a Secret security clearance; U.S. citizenship required.

Preferred qualifications:

• Experience with Hivemind, autonomy SDKs, autonomous aircraft systems, robotics middleware, simulation infrastructure, or edge-deployed autonomy software.
• Hands-on experience with NVIDIA Jetson, embedded Linux, systemd services, containerized deployment, device provisioning, and field update workflows.
• Experience with RF/radio setup, mesh networking, tactical datalinks, software-defined radios, or communications-degraded test scenarios.
• Experience supporting flight test, range operations, customer trials, operational rehearsals, or complex demonstrations.
• Experience integrating EO/IR cameras, gimbals, lidar, GPS/GNSS, IMUs, payloads, or perception sensors.
• Experience contributing to test automation, regression frameworks, data validation, performance benchmarking, or CI/CD-integrated test workflows.
• Familiarity with C++ for debugging, interface review, or collaboration with software engineering teams.
• FAA Part 107, private pilot license, military UAS, aviation maintenance, flight-test, or range-safety experience.
• Experience defining reference configurations, hardware baselines, supported configurations, or setup guidance for internal and external users.
• Active Secret clearance or higher.

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As a Support Engineer at GitLab, you will be embedded within the Engineering department and operate in an environment where Support and Engineering meet. You will interact with customers daily, resolving difficult edge cases of running GitLab in complex environments.

Responsibilities:

• Support a mix of Self-managed and GitLab.com (SaaS) customers and resolve their issues via Zendesk tickets, merge requests, email, and video conferencing
• Collaborate with Product, Development, Infrastructure, Customer Success, and Sales Teams to build new features and fix bugs
• Create and update documentation based on customer interactions
• Participate in regular rotations for weekday and weekend on-call coverage
• Participate in hiring processes by reviewing applications and assessments, and participating in interviews

Requirements:

• Experience in managing customer-facing cases throughout the entire support lifecycle
• Excellent Linux systems administration knowledge (LFCE or RHCE equivalent knowledge)
• Ability to use scripting languages (preferably Ruby or Bash), and MVC frameworks (preferably Ruby on Rails)
• Experience with Git and CI/CD
• Expertise in writing support content
• Ability to communicate complex technical topics to customers and coworkers of varying technical skill levels
• Familiarity with DevOps methodologies and technologies like Serverless and Kubernetes

Benefits:

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and development budget
• Parental leave
• Home office support

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As a GenAI Tooling & Developer Experience Engineer on the HMS DevOps Team, you will design, develop, and maintain the GenAI tooling that accelerates the development velocity of your fellow software engineers.

You will collaborate with robotics and autonomy software engineers to understand their workflows, remove friction, and enable effective GenAI-assisted development in both commercial and government environments while meeting requirements for secure, controlled data.

You will build the automation, infrastructure, and integration layers that make GenAI useful across the software engineering organization.

You will streamline processes across GitLab, Jira, and Confluence so colleagues spend less time coordinating work and more time creating software.

You will apply your expertise in C++, Python, build systems, and developer tooling to provide more power and context to our developers and GenAI tools.

This is a high-leverage role where your impact scales through the work of others: every improvement you make to GenAI tooling, automation, and developer workflows will help engineers across HMS move faster, work more securely, and spend more time solving the hardest robotics and autonomy problems.

Responsibilities:

• Design, develop, and maintain GenAI-enabled developer tools for C++, Python, and Node.js software projects.
• Partner with robotics and autonomy engineers to identify high-friction workflows and convert them into secure, repeatable GenAI-assisted tooling.
• Extend our custom GenAI harness with Python or Bash tools, secure LLM routing, audited execution paths, and local containerized environments.
• Build integrations across GitLab, Jira, Confluence, and internal developer systems to provide GenAI tools with useful engineering context.
• Improve build, test, and developer-environment workflows, including GenAI-assisted adoption of reproducible Nix development environments.
• Support engineers adopting GenAI tooling through documentation, examples, troubleshooting, and feedback-driven improvements.

Required qualifications:

• Typically requires a bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience.
• Fluent with GenAI-assisted development. You can pair with AI tools to explore ideas, generate code, debug issues, and quickly turn rough concepts into working prototypes.
• Hands-on experience building LLM-powered tools for software development.
• Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab).
• Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix).
• Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS).
• Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID).
• Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required).

Preferred qualifications:

• Practical experience building, maintaining, and scaling enterprise CI/CD systems.
• Experience developing tools in CUI and ITAR environments.
• Expertise in tuning LLMs for specialized use.
• Familiarity with deploying custom LLMs

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Responsibilities:

• Ensuring the reliability, availability, and performance of production infrastructure and platform services
• Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads
• Managing GitOps-based deployment workflows using ArgoCD and Helm
• Driving infrastructure provisioning and change management through Terraform/Terragrunt
• Building and supporting CI/CD automation and deployment workflows using GitHub Actions
• Leading incident response efforts, root cause analysis, and post-incident improvement initiatives
• Reducing operational toil through scripting, tooling, and process automation
• Advancing observability practices across logs, metrics, traces, dashboards, and alerting
• Supporting secure secrets integration, IAM-aware operations, and platform guardrails
• Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes

Requirements:

• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure
• Strong hands-on experience operating AWS in production environments
• Deep expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration
• Proven experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns
• Experience implementing and operating ArgoCD within a GitOps delivery model
• Strong hands-on experience with Helm
• Strong experience with Terraform/Terragrunt for infrastructure provisioning and environment management
• Solid scripting and automation skills using Bash and/or Python
• Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions
• Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems
• Experience with monitoring, alerting, and observability in production environments
• Demonstrated ownership mindset with experience handling incidents, resolving production issues, and driving follow-through after outages
• Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams
• Bachelor’s degree in computer science, engineering, a related field or equivalent experience
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work

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We're seeking a Tier 1 Support Engineer to join the MXC CorpTech Services team at Stripe. As an IT Support Engineer, you will provide in-person, thoughtful, and individualized support for all Stripes.

Responsibilities

• Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware.
• Respond to queries via in-person, email, Slack, or ticketing system.
• Offer in-person IT HelpDesk assistance to Stripe employees, contingent workers, and vendors.
• Guide customers through problem-solving processes and follow up to ensure issues have been resolved.
• Run diagnostic programs to resolve problems and troubleshoot IT scripts, systems, or automation.
• Support and maintain critical SaaS tools such as Google Workspace, Slack, Zoom, JIRA, Confluence, etc.
• Troubleshoot Stripe-provided hardware including macOS, Chrome OS, iOS, and peripherals.
• Facilitate the provisioning of Stripe laptops for new hire on-boarding and fleet upgrades.
• Assist with new hire onboarding and training curriculum.
• Update and maintain detailed external and internal IT documentation.
• Onboard and support third-party vendors and/or contractors.
• Contribute to shared global IT off-boarding tasks and responsibilities.
• Maintain and provide technical assistance with all office technology, including printers, Zoom Rooms, room schedulers, and more.
• Own IT asset management and ensure accurate and actionable records are kept of required equipment.
• Promote best practices as established by IT and escalate inquiries as necessary to the IT Systems and Infrastructure team.
• Create and update technology documentation for internal IT teams and for Scale employees.
• Participate in on-call rotations as required by the business.

Requirements

• 2+ years of experience in IT HelpDesk.
• Strong working knowledge of Apple systems and software.
• Strong working knowledge of Google Workspace, Slack, Zoom, JIRA, Confluence, or similar cloud providers.
• Strong working knowledge of Atlassian systems (JIRA and Confluence).
• Understanding of script execution and troubleshooting (e.g., Ruby, Bash, Python).
• Working knowledge of imaging/endpoint management tools (DEP, Munki, Chef, JAMF).
• Ability to independently manage and prioritize workload and projects.
• Outstanding interpersonal and communication skills.
• Empathetic, humble, and strong focus on customer service.

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Key responsibilities:

• Provisioning, monitoring and maintaining hardware, software, and network in new Cloudflare data centers.
• Perform server administration tasks remotely using IPMI/BMC tools.
• Perform network configuration tasks to network devices in greenfield deployment and brownfield migration activities.
• Managing remote contractors to complete datacenter installations and upgrades.
• Build automation to eliminate repetitive work using Python scripts, and Changie.
• Planning and implementing network and server installations.
• Providing technical leadership and guidance to remote contractors and junior team members.
• Creating and maintaining documentation, plans, SOPs, MOPs and runbooks.
• Collaborating with internal teams on day-to-day operations and project planning.
• Coordinating installation of cross-connects globally.
• Assisting with the definition, documentation and implementation of consistent processes and standardization across all regions.

Requirements:

• Minimum of 5 years of prior relevant experience in Data Center Operations, Site Reliability Engineering, Linux Systems Administration, Network Engineering, and/or DevOps experience.
• Familiarity with day-to-day tasks and projects common in Data Center Operations.
• Experience with optical transport technologies such as CWDM/DWDM.
• Configuration management tool experience like Saltstack, Chef, Puppet or Ansible.
• Knowledge and exposure to Network Protocols, Topologies and Enterprise architecture.
• Experience writing network configuration and design documentation.
• Experience with network and server installation, configuration, and troubleshooting.
• Experience with remote "lights-out" and out-of-band access to data center resources (IPMI/BMC for remote server administration).
• Experience solving problems through automation, writing Python or Bash scripts for internal tools and workflow improvements.
• Strong verbal and written communication skills, problem-solving skills, and attention to detail.

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Responsibilities:

• Drive the strategy for building and incorporating AI/ML-powered tools to enhance developer velocity, automate complex tasks in the Continuous Integration, and provide intelligent insights into system performance and code quality.
• Articulate and drive a technical, strategic vision and roadmap.
• Collaborate with Engineering, Security, Program Management, Operations and other scrum teams.
• Recruit and mentor a globally distributed and talented group of diverse employees.
• Build high quality tools and automation for internal use to support continuous delivery and developer productivity.
• Roll out deliverables to internal customers in phases, monitor adoption, collect feedback, and fine-tune the project to respond to internal customers’ needs.
• Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement.
• Foster, enable and promote innovation.

Requirements:

• A track record of leading or managing high performing platform teams (3 year experience minimum).
• Experience with end to end project delivery; building roadmaps through operational sustainability.
• Strong facilitation skills (design, requirements gathering, progress and status sessions).
• Production experience with distributed systems running in AWS. GCP a bonus.
• Passion about automation and leveraging agile software development methodologies.
• Experience in developing Continuous Delivery pipelines for a diverse set of projects using Java, Jenkins, AWS, Docker, Python, Ruby, Bash, and more.
• Experience in building internal developer tools.

Education and Training:

• B.S. in CS or equivalent.

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The role involves:

• Designing, developing, and maintaining scalable CI/CD pipelines supporting Android software development and product releases.
• Building and maintaining automation for software builds, testing, packaging, and release processes.
• Optimizing build performance, reliability, and developer productivity across multiple engineering teams.
• Administering and enhancing engineering tools including Git, Gerrit, GitHub, Jenkins, artifact repositories, and related build infrastructure.
• Supporting release engineering activities including branching strategies, build generation, release automation, software version management, and release candidate creation.
• Partnering with software engineering teams, chipset vendors, and ODM partners to support platform bring-up, BSP integration, software releases, and continuous improvement of development processes.
• Developing tools and automation that improve engineering workflows, reduce manual effort, and increase development efficiency.
• Monitoring, maintaining, and improving the availability, security, scalability, and performance of build infrastructure.
• Leveraging AI and automation technologies to streamline software development, build analysis, troubleshooting, and developer workflows.

The ideal candidate will have:

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience in Build Engineering, Release Engineering, DevOps, or Software Engineering in the enterprise Android ecosystem.
• Experience collaborating with silicon vendors and ODM/OEM partners to integrate platform updates and resolve build and release issues.
• Strong experience with Git, Gerrit, GitHub, and modern source control workflows.
• Experience developing CI/CD pipelines using Jenkins or similar automation platforms.
• Strong experience with Android build systems including Soong, Make, Gradle, Repo, and Android platform build environments.
• Strong scripting skills using Python, Bash, or similar languages.
• Strong Linux system administration and troubleshooting experience.
• Experience working with build automation, release management, and software versioning.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred qualifications include experience with Android BSP development and platform integration, Qualcomm and/or MediaTek Android platforms, embedded Linux development, Docker, Kubernetes, or containerized development environments, and infrastructure as Code and configuration management tools.

Logitech offers comprehensive and competitive benefits packages and working environments that are designed to be flexible and help employees care for themselves and their loved ones.

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As a Presales Customer Engineer, you will represent the core driver of our technical go-to-market strategy. You will be a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion.

Key Responsibilities:

• Technical Validation: Partner with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare's portfolio.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• Strategic Alignment: Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer's evolving business goals and our product roadmap.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• AI Orchestration & Workflow Automation: Act as an AI-Augmented engineer, leveraging AI agents and internal platforms to automate routine tasks.

Minimum Qualifications:

• 7+ years of experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer.
• Broad technical expertise spanning web security, networking, cloud infrastructure, and enterprise architecture.
• Experience with Internet security technologies, networking technologies, HTTP technologies, zero-trust network access, and cloud computing technologies.
• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH.
• Understanding of, or experience with, regulatory requirements such as IRAP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.

Strongly Preferred Qualifications:

• Cloudflare Developer Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem.
• Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures.
• Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions.

What Makes Cloudflare Special?

We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.

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Millennium is a global, diversified alternative investment firm, founded in 1989. We are seeking a Cloud Platform / Infrastructure Engineer to design, build, and operate cloud-native infrastructure that enables teams across the firm to deploy workloads safely and reliably at scale.

What You'll Do

• Design cloud-native architecture solutions grounded in the pillars of the AWS Well-Architected Framework: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization
• Build CI/CD pipelines for reliable deployments
• Establish infrastructure-as-code practices that make our systems reproducible and auditable
• Work closely with software engineers to ensure our cloud platforms are secure, scalable, and operationally excellent
• Use AI and other automation to increase teams' visibility into their cloud costs and migration onto strategic infrastructure
• Help teams understand risks and plan for proper business continuity
• Beyond immediate delivery, you'll help define platform infrastructure best practices that scale across the firm's broader cloud-native footprint

What You Bring

• Strong AWS expertise
• VPC architecture, IAM, EC2, S3, ECS/EKS, networking, and data lake architectures
• Hands-on experience with Kubernetes, including designing container architectures for multi-tenant workloads
• Strong Linux administration and troubleshooting skills, with Python and/or Bash for tooling and automation
• Proficiency with Infrastructure-as-Code tools such as Terraform, CloudFormation, plus GitOps workflows and CI/CD platforms (ArgoCD, GitHub Actions, Jenkins)
• Proficiency with Observability tooling similar to Datadog/Prometheus/Grafana
• Bachelor's degree in Computer Science or a related field, with 3+ years (or a Master's degree with 2 years) in a cloud/infrastructure/DevOps engineering role
• Technical leadership - ability to drive architectural decisions and mentor others, with strong communication and problem-solving skills
• A desire to deliver cutting-edge infrastructure in a fast-moving environment, with a commitment to staying current on cloud-native infrastructure, container security, and workload deployment

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Responsibilities:

• Maintain data center operations to ensure service availability and reliability
• Conduct hardware and network diagnostics and repairs
• Perform root cause analysis of hardware and software failures
• Train internal teams
• Develop documentation
• Provide technical support to data center teams
• Develop scripts to update server and networking hardware
• Maintain inventory
• Assemble and install equipment
• Perform maintenance of test and tool equipment
• Travel up to 10% of the time to other data center locations as required
• Respond to on-site equipment failures or emergencies within 60 minutes while on scheduled on-call

Requirements:

• Computer hardware experience (troubleshooting, assembling)
• Linux Operating System experience
• Ability to regularly transport and position equipment weighing up to 50 lbs
• Ability to remain in a stationary position (sitting or standing) for extended periods
• Ability to maneuver in cramped or elevated spaces
• Ability to perform tasks requiring fine motor skills
• Availability to work a flexible schedule within a 24/7 environment
• Excellent time management, organizational, and communication skills
• Must be able to prioritize tasks and react quickly to issues

Preferred qualifications:

• Hands-on or education-based experience with computer hardware, data center experience, computer networking experience, Python, Bash, or other scripting languages experience, experience with Cisco IOS and/or Juniper JunOS, or an Associate's Degree or equivalent experience in an IT-related field

We offer a competitive salary range of $65,000 to $83,000, a comprehensive benefits program, and opportunities for growth and development in a fast-paced, hyper-growth environment.

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We're looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology!

As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

Core Responsibilities

• Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades
• Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types
• Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability
• Reduce manual operations and automate workflows, processes, and/or runbooks where possible
• Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule.
• Develop novel solutions in Palantir’s Foundry and Apollo platforms to solve infrastructure challenges

What We Value

• Confidence in troubleshooting complex systems issues independently using observability tools and service logs
• Ability to identify and automate highly manual tasks, driving ongoing improvements within and across teams
• Comfort with large scale production systems and technologies - for example, load balancing, monitoring, distributed systems, or configuration management
• Proficiency with programming languages such as Java, Python, Bash, JavaScript, Go or similar languages and be comfortable coding and/or utilizing tooling built in these languages
• Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
• Excellent communication and interpersonal skills, with the ability to work effectively in multi-functional teams

What We Require

• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
• Strong coder with shown proficiency in programming languages such as Java, Go, Python, JavaScript, or similar languages
• Active US Security clearance, or eligibility and willingness to obtain a US Security clearance

Additional Information

The estimated salary range for this position is estimated to be $135,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors.

Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies.

Benefits:

• Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
• Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
• Commuter benefits
• Relocation assistance
• Take what you need paid time off, not accrual based
• 2 weeks paid time off built into the end of each year (subject to team and business needs)
• 10 paid holidays throughout the calendar year
• Supportive leave of absence program including time off for military service and medical events
• Paid leave for new parents and subsidized back-up care for all parents
• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation
• Stipend to help with expenses that come with a new child
• Employees can enroll in Palantir’s 401k plan

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We're looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology!

As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

Core Responsibilities

• Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades
• Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types
• Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability
• Reduce manual operations and automate workflows, processes, and/or runbooks where possible
• Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule.
• Develop novel solutions in Palantir’s Foundry and Apollo platforms to solve infrastructure challenges

What We Value

• Confidence in troubleshooting complex systems issues independently using observability tools and service logs
• Ability to identify and automate highly manual tasks, driving ongoing improvements within and across teams
• Comfort with large scale production systems and technologies - for example, load balancing, monitoring, distributed systems, or configuration management
• Proficiency with programming languages such as Java, Python, Bash, JavaScript, Go or similar languages and be comfortable coding and/or utilizing tooling built in these languages
• Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
• Excellent communication and interpersonal skills, with the ability to work effectively in multi-functional teams

What We Require

• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
• Strong coder with shown proficiency in programming languages such as Java, Go, Python, JavaScript, or similar languages
• Active US Security clearance, or eligibility and willingness to obtain a US Security clearance

Additional Information

The estimated salary range for this position is estimated to be $135,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives.

Benefits

• Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
• Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
• Commuter benefits
• Relocation assistance
• Take what you need paid time off, not accrual based
• 2 weeks paid time off built into the end of each year (subject to team and business needs)
• 10 paid holidays throughout the calendar year
• Supportive leave of absence program including time off for military service and medical events
• Paid leave for new parents and subsidized back-up care for all parents
• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation
• Stipend to help with expenses that come with a new child
• Employees can enroll in Palantir’s 401k plan

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We're looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology!

As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

Core Responsibilities

• Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades
• Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types
• Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability
• Reduce manual operations and automate workflows, processes, and/or runbooks where possible
• Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule.
• Develop novel solutions in Palantir’s Foundry and Apollo platforms to solve infrastructure challenges

What We Value

• Confidence in troubleshooting complex systems issues independently using observability tools and service logs
• Ability to identify and automate highly manual tasks, driving ongoing improvements within and across teams
• Comfort with large scale production systems and technologies - for example, load balancing, monitoring, distributed systems, or configuration management
• Proficiency with programming languages such as Java, Python, Bash, JavaScript, Go or similar languages and be comfortable coding and/or utilizing tooling built in these languages
• Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
• Excellent communication and interpersonal skills, with the ability to work effectively in multi-functional teams

What We Require

• Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
• Strong coder with shown proficiency in programming languages such as Java, Go, Python, JavaScript, or similar languages
• Active US Security clearance, or eligibility and willingness to obtain a US Security clearance

Additional Information

The estimated salary range for this position is estimated to be $135,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors.

Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies.

Benefits:

• Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
• Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
• Commuter benefits
• Relocation assistance
• Take what you need paid time off, not accrual based
• 2 weeks paid time off built into the end of each year (subject to team and business needs)
• 10 paid holidays throughout the calendar year
• Supportive leave of absence program including time off for military service and medical events
• Paid leave for new parents and subsidized back-up care for all parents
• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation
• Stipend to help with expenses that come with a new child
• Employees can enroll in Palantir’s 401k plan

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The Cloudflare Customer Support Team solves complicated problems and answers technical questions via phone, email, chat and social media. We're seeking an experienced Network Security Engineer to join our team and support our largest and most technically sophisticated customers in resolving technical problems, threats or attacks on their infrastructure at OSI Layers 3, 4, and 7.

Responsibilities

• Serve as a trusted technical advisor for our enterprise customers, responding to and resolving inquiries and incidents related to network security and performance.
• Work directly with customers to diagnose, troubleshoot and resolve complex technical issues involving DDoS mitigation, firewall rules, SSL/TLS, network confirmation, and other security configurations.
• Create and maintain knowledge base articles, technical guides, and troubleshooting documentation for internal and customer use.
• Compare traffic signatures and attributes to determine what is good traffic and what is malicious.
• Advise customers on how to filter malicious traffic using Cloudflare tools like Magic Transit, Network Firewall, WAF, IP reputation lists, packet inspection, blocklisting, allowlisting, and rate limiting.
• Work with Engineering and Product teams to improve products and tools.
• Utilize generative AI and automation tools to streamline log analysis, accelerate root-cause analysis during security incidents, and optimize customer response times.

Requirements

• Minimum of 4 years experience working as a Network Security Engineer / Technical Support Engineer / Sr. Support Engineer supporting networking or web security products.
• Exceptional troubleshooting and problem-solving skills, with the ability to simplify complex concepts for customers.
• Strong customer service orientation and communication skills.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong understanding of network protocols, including TCP/IP, DNS, HTTP/S, and BGP.
• Proven experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels, and performing packet capture analysis.
• Confident with command line and tools, including curl, dig, traceroute, openssl, git.
• Experience in a web development and / or hosting environment.
• Competent at writing scripts in Bash, Python, JavaScript or other scripting languages.
• Experience working with PostgreSQL, MySQL, MS SQL, and other database servers.
• Bachelor's degree in Computer Science, Cybersecurity, or a related field (or equivalent experience).
• Relevant certifications such as CISSP, GCIA GCIH, GCFA, GCFE or equivalent.

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This role involves designing, implementing, maintaining, and troubleshooting enterprise systems across cloud, endpoint, identity, server, and collaboration platforms while ensuring secure, reliable, and scalable services.

Key responsibilities:

• Administer, maintain, and optimize enterprise Windows, Linux, and macOS systems supporting corporate business operations.
• Design, implement, configure, and support enterprise infrastructure including cloud services, identity management, endpoint management, collaboration platforms, and core IT systems.
• Analyze system performance, availability, and operational metrics to proactively improve reliability, scalability, and security.
• Administer Active Directory, Azure AD/Entra ID, Group Policy, authentication services, and role-based access controls.
• Deploy, maintain, and support endpoint management platforms including Microsoft Intune, JAMF, and related management technologies.
• Plan and execute infrastructure upgrades, migrations, patch management, and lifecycle replacement initiatives.
• Lead technical implementation of enterprise IT projects while coordinating with Infrastructure, Security, Networking, and business stakeholders.
• Troubleshoot complex infrastructure, operating system, cloud, and application issues using root cause analysis methodologies.
• Support LAN/WAN connectivity, DNS, DHCP, VPN, and network-related troubleshooting in partnership with networking teams.
• Develop automation using PowerShell, Bash, or similar scripting languages to improve operational efficiency and reduce manual administration.
• Maintain accurate system documentation, architecture diagrams, operational procedures, and knowledge base articles.
• Manage enterprise hardware and software assets throughout their lifecycle including procurement, deployment, maintenance, and decommissioning.
• Participate in incident response, change management, disaster recovery planning, and business continuity activities.
• Participate in an on-call rotation and perform scheduled maintenance outside normal business hours as required.
• Mentor junior administrators and provide technical guidance across the Enterprise IT organization.

Requirements:

• Bachelor’s degree in information technology, Computer Science, or equivalent practical experience.
• 5+ years of progressively responsible experience administering enterprise IT infrastructure and systems.
• Strong experience supporting Windows, Linux, and macOS operating systems within enterprise environments.
• Advanced knowledge of Microsoft Active Directory, Azure AD (Entra ID), Group Policy, DNS, DHCP, and identity management.
• Experience administering Microsoft 365 services including Exchange Online, Teams, SharePoint, and Intune.
• Experience managing endpoint platforms such as JAMF, Intune, or Microsoft Endpoint Manager.
• Working knowledge of networking fundamentals including TCP/IP, routing, VPN, DNS, firewalls, and network troubleshooting.
• Experience supporting enterprise cloud infrastructure and SaaS platforms.
• Strong troubleshooting, analytical, and root cause analysis skills across operating systems, infrastructure, and enterprise applications.
• Experience implementing system upgrades, migrations, and enterprise infrastructure projects.
• Experience with scripting and automation using PowerShell, Bash, or similar tools.
• Excellent written and verbal communication skills with the ability to work effectively across technical and non-technical teams.
• Ability to manage multiple priorities while maintaining high operational standards.
• Willingness to participate in an on-call rotation and support planned maintenance activities.

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Responsibilities:

• Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal
• Create tooling using Python, Golang, and Bash
• Perform day 2 lifecycle tasks and maintenance on running clusters
• Identify gaps and implement fault-tolerant architectures
• Optimize reliability using the Grafana ecosystem
• Design automated testing to validate build quality and stability
• Participate in an on-call rotation every two months

Requirements:

• Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar
• Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades
• Proficiency in Golang, Bash, and Python
• Advanced Linux OS troubleshooting skills
• Extensive experience with Ansible
• Advanced DevOps experience (e.g., GitLab CI, GitHub Actions)
• Demonstrated ability to collaborate effectively on shared codebases
• Excellent documentation skills and high attention to detail
• Strong analytical and problem-solving abilities
• Experience participating in an on-call rotation to support production services

Preferred Qualifications:

• Bare-metal OS provisioning experience
• Kubernetes operator coding experience
• Advanced Linux networking expertise
• AWX/Ansible tower knowledge

The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. Benefits include medical, dental, and vision insurance, company-paid Life Insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, and more.

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