The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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Your primary responsibilities will include implementing end-to-end data integrations, syncing customer's data to Scale's platform and back, and working closely with our customer's engineering teams to optimize data pipelines. You will also design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success.

In addition, you will partner with Software Engineers and Operations to remove any technical hurdles customers may face, debug technical issues impacting delivery and own technical escalations coming from the customer. You will be accountable for the customer's technical experience throughout their time with Scale.

The ideal candidate will have a track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way. Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals is also required.

We offer a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position is $190,000-$290,000 USD in San Francisco, New York, and Seattle, $170,000-$260,000 USD in Hawaii, Washington DC, Texas, and Colorado, and $140,000-$220,000 USD in St. Louis.

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At Temporal, you'll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You'll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases.

As a Staff Developer Success Engineer, you'll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale.

Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way!

As a Staff Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability.

Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test).

You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales.

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Responsibilities

• Quickly adapt to a rapidly changing environment and learn new emerging networking technologies
• Design and deploy consistent large scale networks rapidly, leveraging automation
• Participate in peer reviews, design discussions, and architectural decisions
• Troubleshoot complex problems and support internal and external customers
• Share your knowledge and guide junior team members, fostering a culture of continuous learning and improvement
• Effectively collaborate across teams and areas of expertise

Requirements

• 7+ years of experience as a Network Engineer
• Experience managing Hyperscale Clos fabrics
• Networking OS Experience - Cumulus Linux, Sonic, Arista EOS, Junos, Cisco NX-OS
• Expertise with major routing protocols (BGP, ISIS, OSPF)
• Experience with encapsulation protocols (EVPN/VXLAN or Geneve)
• Experience automating configuration management (Ansible, SaltStack, home grown)
• Familiarity with scripting/programming (Shell, Python)
• Operational experience with Git
• Large scale network design, maintenance, and operations
• Experience leading complex projects as part of a team
• Deep understanding of TCP/IP
• Strong Linux skills

Nice-to-Haves

• College education in Computer Science, Electrical Engineering
• Certifications like CCNA, CCNP, JNCIA
• Experience with Kubernetes and CNIs (Calico, Cilium)

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In this role, you will focus on identity and access management, secure collaboration, endpoint/VDI, and SaaS governance. You will partner closely with IT Engineering, Security, People, and Compliance to make access secure by default, reduce friction in onboarding and offboarding, and improve the overall employee experience.

About the role:

You will translate requirements from Security, Compliance, IT, and business stakeholders into clear product outcomes across platforms such as Okta, Opal, VDI, MDM, Google Workspace, Slack, Zoom, and other SaaS applications. You will help convert the existing Staff IT Systems Engineer responsibilities into scalable, measurable product capabilities that align with the IT Infra and Ops charter.

Own the product vision, strategy, and roadmap for IAM and security-aligned IT infrastructure, including Okta, access governance, endpoint management, and VDI, aligned to IT Infra and Ops priorities.

Act as a primary product partner and escalation point for Engineering and Security on identity, access, and secure remote access, helping prioritize and resolve high-impact issues.

Define and improve end-to-end joiner, mover, and leaver flows, ensuring user provisioning, de-provisioning, and access changes are secure, automated, and reliable.

Establish standards for SSO integrations and app onboarding and offboarding in Okta, working with engineers to onboard new applications, deprecate legacy patterns, and maintain a consistent SSO experience.

Design and roll out access policies, baseline RBAC, and Just-in-Time and time-bound access patterns in partnership with Security, Compliance, and IT Engineering, with clear controls and auditability.

Own the VDI and secure remote access experience as a product surface, partnering with engineering on performance, reliability, and hardening, and defining SLIs, SLOs, and incident playbooks.

Collaborate with Security, People, and IT to define automated onboarding and offboarding processes that cover identity, devices, collaboration tools, and privileged access.

Define requirements for automation, policies, and scripts using vendor APIs to manage company devices and SaaS services such as Google Workspace, Slack, Zoom, and MDM tools.

Partner with IT Infra and Ops and Finance to support asset and SaaS lifecycle management, including inventory visibility, licensing utilization, and access governance for endpoints and applications.

Ensure documentation, runbooks, and training material for IAM, VDI, and related security and IT processes are accurate, accessible, and kept up to date for internal employees and IT staff.

Build strong relationships with IT Engineering, Security, Compliance, People, and business stakeholders, with clear intake, prioritization, and communication around roadmap, tradeoffs, and delivery.

Define and track key metrics such as time-to-access for new hires, reduction in access-related tickets, SSO coverage, QAR completion, and control failures, and use these metrics to drive prioritization.

Who You Are:

7+ years of experience in IT product management, technical program management, or systems engineering roles focused on SaaS, identity, security, or endpoint platforms.

Practical experience with administration or close partnership on platforms such as Okta (Identity Engine and Identity Governance), Google Workspace, Slack, Zoom, MDM or endpoint management tools, and VDI solutions.

Strong understanding of identity and access management concepts and practices, including SSO, federation, RBAC, joiner and leaver lifecycle, privileged access, and quarterly access reviews.

Experience collaborating with or supporting Microsoft, Linux, and Mac user environments, especially for secure access, device management, and productivity tooling.

Demonstrated experience defining and driving automation workflows and integrations that remove manual IT and security tasks, such as access provisioning, group management, and device or SaaS lifecycle actions.

Familiarity with CI or CD tools and Git, and the ability to work closely with engineers on configuration, releases, and environment management.

Comfort working with at least one programming or scripting language, such as Python or Go, at a level sufficient to understand implementation options and tradeoffs.

Experience partnering with Security and Compliance on access controls, ITGCs, and IT application controls for frameworks such as SOX or SOC 2, including control design and evidence collection.

Strong written and verbal communication skills, with the ability to translate technical and security concepts into clear product narratives and decisions for both technical and non-technical audiences.

Preferred:

Experience in high-growth, cloud-native, or security-sensitive environments where identity, access, and endpoint posture are tightly linked to customer and compliance expectations.

Prior ownership of IAM or security products such as Okta, Opal, CyberArk, VDI, or device management platforms as a product manager or TPM.

Familiarity with automation and infrastructure-as-code tooling such as Terraform, Ansible, Chef, Intune, Jamf, or similar technologies.

Experience contributing to or leading M&A-related migrations involving identity consolidation, SSO rationalization, or access model redesign.

Exposure to AI or agent-based IT support models and interest in using them to reduce IT ticket volume and improve time to resolution.

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

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $210,000. 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

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and market conditions.

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You will work on high-performance computing (HPC) systems that are part of our sequencing platform. The ideal candidate is a hands-on Linux expert who thrives on optimizing performance and building secure, scalable and reliable systems in a fast-paced environment.

Responsibilities:

• Design, build, and maintain high-performance Linux systems supporting compute and data-intensive workloads
• Optimise system performance through kernel and filesystem tuning; identify and eliminate I/O, memory, or network bottlenecks
• Automate provisioning and configuration management using orchestration tools such as Ansible and Salt
• Monitor and troubleshoot kernel, driver, and hardware issues; perform root cause analysis in partnership with data and engineering teams and propose long-term solutions
• Ensure system reliability through regular patching, monitoring, and performance tuning
• Maintain accurate system documentation, runbooks, and configuration baselines
• Collaborate with software, hardware, and scientific teams to ensure platform reliability and scalability

Qualifications, Skills, Knowledge & Abilities:

• BS in Computer Science, Engineering, or related field
• 5+ years of experience designing and building high-performance physical Linux systems in high-throughput or mission-critical environments
• Deep knowledge of Linux kernel, NFS and Linux file system performance tuning
• Solid background in TCP/IP networking, routing, VLANs, and firewall rules
• Experience with the latest CPU and GPU technologies
• Proficiency in shell scripting (bash), working knowledge of Python, and familiarity with Ansible or similar configuration management tools
• Proven hands-on experience building servers from components, diagnosing hardware failures, and working with vendors
• Excellent documentation and communication skills
• May occasionally be exposed to activity that requires pulling/lifting/moving/carrying up to 50 lbs
• Experience with cloud computing infrastructure (e.g. AWS) and Docker desirable
• Familiarity with security frameworks and compliance standards (e.g. ISO 27001) a plus

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $125,000 and $150,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.

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In this role, you'll help keep these environments reliable, scalable, secure, and consistent by treating everything as code and contributing to automation across the entire lifecycle, from initial provisioning to day-to-day operations.

Instead of operating a single platform, you'll collaborate with senior SREs to solve the unique challenges of managing many tenant environments in parallel, each with its own constraints and integration points.

You'll help define, deploy, and maintain GitLab environments across cloud providers using infrastructure as code, deployment packages, and Kubernetes.

Some examples of work you'll do:

• Contribute to the design and evolution of infrastructure automation using Terraform, Ansible, and Kubernetes to provision, upgrade, and operate many GitLab environments with minimal manual effort

• Help debug and resolve production issues across Kubernetes clusters, GitLab components, and cloud services, then assist in building automation and safeguards that prevent similar issues from recurring

• Assist in creating and maintaining deployment and orchestration tools, such as Helm Charts, omnibus-gitlab configurations, and multi-tenant workflows, that make it easy for teams to manage GitLab environments at scale

You'll contribute to automating operational tasks across many GitLab environments, from initial provisioning and configuration updates to upgrades and routine maintenance, helping reduce manual work and improve reliability at scale under the guidance of senior team members.

You'll help build and refine the observability stack for multi-tenant GitLab environments so we monitor the right signals across Kubernetes, cloud services, and GitLab applications, supporting early issue detection and basic capacity tracking.

You'll assist in responding to platform alerts and incidents, collaborating with Environment Automation SREs and engineering teams to troubleshoot production issues across multiple tenants and document findings.

You'll support planning and implementation of infrastructure changes, capacity expansions, and new service rollouts for Dedicated and other managed GitLab environments, contributing to efforts that improve resource efficiency and environment isolation.

You'll develop and maintain scripts, automation tools, and infrastructure-as-code workflows that manage parts of the GitLab environment lifecycle, enabling more repeatable, self-service operations over time.

You'll apply and help implement best practices for running GitLab on Kubernetes and cloud platforms, focusing on day-to-day reliability, performance, and security while learning how to keep environments consistent.

You'll participate in the on-call rotation for production GitLab environments with appropriate support, helping triage and mitigate incidents across clusters and cloud providers and contributing to post-incident reviews.

You'll document operational tasks, runbooks, and lessons learned so they become clear, repeatable processes and can be candidates for future automation, improving shared knowledge and reducing manual toil across the team.

Experience working as an SRE or in a similar role operating production infrastructure, with an interest in automating the lifecycle of many environments or tenants in parallel, even if you have not yet done so at large scale.

Hands-on experience with Golang (required) and the ability to read, understand, and modify infrastructure tools written in Go.

Hands-on experience running Kubernetes-based workloads in production, including basic understanding of deployments, rollouts, and debugging common issues like crash loops, failed health checks, and scheduling problems.

Familiarity with infrastructure automation and configuration management tools such as Terraform and Ansible, including experience working with modules, variables, and managing state safely for multiple environments.

Solid understanding of Git-based workflows and infrastructure-as-code practices, with the ability to contribute to reusable modules, templates, and pipelines that make automation safer and more consistent.

Experience working in distributed systems or cloud-based production environments, ideally in SaaS or managed service settings, with comfort participating in incident response and on-call rotations under guidance from more senior team members.

A proactive mindset focused on automation and documentation,you look for opportunities to remove manual steps, improve runbooks, and turn repetitive tasks into reliable, self-service tools.

Comfort working asynchronously across distributed teams and a desire to contribute to GitLab's values of collaboration, transparency, and iteration.

About the team:

We are responsible for building, running, and evolving the entire lifecycle of the GitLab environments that power the GitLab Dedicated platform.

You'll be part of our team focused on owning the reliability, scalability, performance, and security of automated single-tenant GitLab instances and their supporting services.

GitLab Dedicated provides fully managed, isolated environments for customers around the world, which means your work directly impacts how organizations of all sizes run their mission-critical software delivery on GitLab.

We operate in a fully distributed, asynchronous environment across multiple regions, collaborating on everything from infrastructure automation and environment lifecycle design to incident response and capacity planning.

You'll be solving novel challenges at scale, from orchestrating infrastructure-as-code workflows across hundreds of tenants to designing the automation that keeps those environments consistent, secure, and up to date.

We continuously seek to reduce complexity and improve efficiency by leveraging cloud vendor managed products

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Key Responsibilities:

• Support the deployment of NVLink systems across large data center environments.
• Support the full lifecycle management of NVLink hardware and software components.
• Build and maintain tooling to automate and streamline the deployment, monitoring and troubleshooting workflows.
• Diagnose and resolve performance, connectivity and stability issues in complex environments.
• Collaborate with internal teams and external customers worldwide.
• Participate in a rotating on-call schedule to ensure 24/7 support coverage.

Required Qualifications:

• Solid understanding of networking fundamentals
• Proven background in troubleshooting network and server hardware at the component level.
• Strong Linux system administration skills.
• Proficiency in at least one language (e.g., Python, Go).
• Proven ability to troubleshoot and debug complex application issues.
• Excellent communication and collaboration skills.
• Experience with Ansible.

Preferred Qualifications:

• Experience with InfiniBand networking.
• Experience managing large-scale environments (1,000+ switches or nodes).
• Prior experience with NVLink technologies.
• Knowledge of Redfish API for system management.
• Experience with NVUE (NVIDIA User Experience).
• Background with SONiC.
• Experience with Grafana/PromQL

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Your responsibilities will include developing and maintaining hardware/firmware management services, automating all aspects of the server hardware lifecycle, serving as the senior point of contact for hardware escalation and troubleshooting, collaborating with cross-functional teams to define hardware requirements, specifications, and system architecture, creating and maintaining accurate documentation of hardware designs, specifications, test procedures, and results, analyzing and optimizing the performance of hardware systems, identifying bottlenecks, and proposing improvements for enhanced efficiency, and establishing processes for internal hardware testing, deployment, and performance optimization.

To be successful in this role, you will need to have proficiency in Ansible/Python and experience with programmatically interacting with server BMCs, using IPMI or Redfish, in-depth knowledge of server hardware, components, and management technologies, proven ability to stay updated with the latest industry technologies and trends, previous experience collaborating with hardware vendors, strong passion for automation, excellent documentation skills and attention to detail, and strong analytical and problem-solving abilities.

The base annual salary range for this role is $109,000 to $204,000, and we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 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, and flexible PTO.

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Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. We're looking for someone with 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, and experience participating in an on-call rotation to support production services.

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).

In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 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, and a work culture focused on innovative disruption.

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The ideal candidate will have a strong operations mindset, effective collaboration skills, and the ability to solve complex issues in a dynamic environment.

Key responsibilities include:

• Regularly monitoring the performance and health of InfiniBand fabrics, including switches, host adapters, and nodes.
• Investigating and resolving operational issues within InfiniBand fabrics, such as network connectivity problems and performance bottlenecks.
• Assisting with the installation and operational bring-up of large InfiniBand fabrics in collaboration with onsite personnel and customer teams.
• Performing routine maintenance and upgrades on InfiniBand switches and control plane components.
• Collaborating with HPC cluster operations teams to provide troubleshooting and operational expertise.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams.

Minimum Qualifications:

• At least 1 year of experience with InfiniBand or similar networking technologies.
• Solid understanding of networking concepts, including architectures, topologies, operational best practices, and troubleshooting.
• Experience with Linux system administration and maintenance.
• Proficiency in at least one scripting language.

Preferred Qualifications:

• Hands-on experience with Nvidia UFM or similar fabric management tools.
• Familiarity with SLURM job scheduler and its role in HPC environments.
• Experience with monitoring and visualization platforms such as Grafana or Prometheus.
• Experience with operational tooling and automation frameworks like Ansible.
• Knowledge of data center operations, including server racks, and cabling.
• Python or Bash scripting.

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

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The base salary range for this role is $110,000 to $179,000. 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.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built, and sold.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE JOB

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners. In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages.

A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods.

Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 5+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

US Salary Range $129,000-$171,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package.

Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

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GitLab is seeking a Professional Services Engineer to join our team in the United Arab Emirates. As a Professional Services Engineer, you will engage with customers to provide installation, migration, training, and advisory services. You will handle installations ranging from single-node Omnibus installs to our largest reference architectures utilizing IaC/CaC, migrations from multiple systems to GitLab SaaS or self-hosted, and advisory services across the entire GitLab feature stack.

Key Responsibilities:

• Use a consultative approach to customer engagements
• Deliver on SOW with guidance from technical architects
• Scope may include installation and configuration of GitLab solutions in the customer environment, providing technical training sessions remotely and/or on-site, providing documentation for implementation, guides, maintenance, etc relevant to the customer requirements
• Manage creation of new and/or maintenance of existing artifacts and templates for deliverables and training
• Develop and implement migration plans for customer VCS & data migration
• Contribute to the extension and maintenance of documentation/scripts for implementation and workflow to align with custom requirements
• Document opportunities to help the customer achieve their vision more effectively and efficiently
• Communicate opportunities to the customer project and account team
• Support engagement managers on quoting and scoping of SOWs
• Document and implement improvements for Professional Services engagement processes

Requirements:

• Professional exposure with one or more IaC/CaC technologies: Terraform, Ansible, Packer, Puppet, Chef
• Professional exposure with one or more cloud providers: AWS, GCP, Azure
• Proficient in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment
• Experience using, deploying, or configuring GitLab
• Comfortable working in a fast-paced environment, sometimes with multiple customer engagements at once
• Positive disposition and solution-oriented mindset
• Effective communication skills: Regularly achieve consensus with peers, and provide clear status updates
• Self-motivated and self-managing, with strong organizational skills
• Shares GitLab values, and work in accordance with those values
• Ability to thrive in a fully remote organization

Benefits:

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

Note: We welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement.

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A significant part of the duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. The engineer will also be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

The role requires 8+ years of working experience in DevOps or SRE type roles, with strong proficiency in utilizing cloud services like AWS, Azure, or Google Cloud Platform. Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc) and containerization technologies such as Docker and orchestration tools like Kubernetes and Helm is also required.

The salary range for this role is $166,000-$220,000 USD per year, with highly competitive equity grants included in the majority of full-time offers. Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, and family planning and parenting support.

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We are seeking a highly experienced engineer to design, develop, deploy and operate our global backbone infrastructure. This role requires a deep understanding of backbone network hardware and protocols, including MPLS RSVP TE++. The successful candidate will partner with internal teams to ensure our current products meet their future needs.

Responsibilities

• Design, develop, deploy and operate our global backbone infrastructure
• Partner with internal teams to ensure our current products meet their future needs
• Leverage our own systems for insights to inform development decisions
• Automate customer impact mitigations using Python and Ansible

Requirements

• 10+ years working on backbone network hardware and their protocols (MPLS RSVP TE++) in a large/hyper scale environment
• 10+ years of routing experience (BGP, IS-IS) within backbones, peering and transit areas with deep skills in traffic engineering
• 5+ years experience with Python scripting and the ability to automate repetitive tasks for deployments and break/fix
• 5+ years experience managing and troubleshooting cloud VPCs and connected network hardware
• Experience with Juniper, Cisco and Arista hardware
• Experience with AWS, GCP and OCI clouds
• Experience capacity planning on large networks with minimal customer input
• Proven track record in on-call rotations and incident response in high-stakes environments

Benefits

Base salary is just one part of our total rewards package at X, 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.

Annual Base Salary

$180,000 - $440,000 USD

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You'll coordinate and guide implementation work across GitLab Professional Services and partner consultants, support customers deploying GitLab in cloud and on-premises environments using tools like Terraform, Ansible, and the GitLab Environment Toolkit, and perform migrations to GitLab using Congregate.

You'll provide DevOps and DevSecOps consulting and best practices, contribute reusable collateral such as documentation, delivery kits, and training materials, and share product release updates to help the team deliver consistent outcomes.

This role combines deep technical expertise with customer-facing leadership in GitLab's remote, asynchronous, and values-driven environment.

Responsibilities:

• Designing and delivering GitLab reference architecture implementations for both self-managed and cloud environments, using infrastructure as code practices
• Leading source code management and CI/CD migrations to GitLab, including large-scale enterprise moves using Congregate
• Building repeatable delivery kits, documentation, and enablement materials that help Professional Services and partners deploy and adopt GitLab best practices
• Lead the full technical delivery lifecycle for GitLab Professional Services engagements, from early scoping and technical discovery through implementation and handoff.
• Produce high-level and detailed technical designs for GitLab infrastructure and functionality, ensuring deliverables align with customer requirements and expectations.
• Evaluate and communicate scalability and security considerations (including compliance constraints) in proposed GitLab reference architectures and implementation plans.
• Deploy and configure GitLab in customer environments, including on-premises and major cloud providers, using Terraform, Ansible, and the GitLab Environment Toolkit (GET) aligned to reference architectures.
• Plan and execute source system migrations to GitLab using Congregate, partnering closely with customer stakeholders to reduce risk, protect data integrity, and minimize downtime.
• Provide DevOps and DevSecOps consulting and best-practice guidance, including advising on internal frameworks such as the Delivery Governance Framework (DGF) and GitLab Flow.
• Coordinate and oversee implementation work across GitLab team members, partners, and customer points of contact (POCs), ensuring clear asynchronous communication and decision capture, effective execution, and high-quality outcomes.
• Mentor Professional Services and partner consultants by contributing documentation, delivery kits, and training materials, and by leading enablement sessions on how to deliver and position service offerings.
• Maintain and improve delivery automation assets with an emphasis on code cleanliness, maintainability, and appropriate unit/integration testing.
• Support scoping and Statement of Work (SOW) creation with Professional Services Engagement Managers, stay current on monthly GitLab releases, and help Regional Delivery Managers with technical vetting and staffing assessments while maintaining a 55% billable utilization.
• Review and provide input to Professional Services training materials and presentations
• Develop case studies, presentations, design documentation, and best-practice methodologies
• Work closely with customer project teams to ensure accurate task-level articulation of work required

Requirements:

• Strong written and verbal communication skills, including the ability to lead technical discussions with customers and partners and communicate risks/trade-offs clearly in an asynchronous environment.
• Prefer San Francisco, Bay Area, PST/MST time zones.
• Up to 50% travel at times.
• Demonstrated experience delivering two or more of the following consulting services: source code management migration, cloud architecture, DevOps engineering, or continuous integration and continuous delivery (CI/CD) consulting services.
• Enterprise software development experience, with the ability to translate requirements into clear technical designs and implementation plans.
• Progressive DevOps platform experience, including designing and implementing reliable, scalable systems with clear performance and security trade-offs.
• Hands-on experience deploying and managing infrastructure in cloud providers and on-premises environments, including using tools such as Terraform and Ansible.
• Ability to write clean, maintainable automation/integration code (e.g., Terraform modules, Ansible roles, scripts) and validate changes with appropriate testing and code review.
• Experience performing migrations to GitLab, including using Congregate or similar migration tooling.
• Working knowledge of data consistency and integrity concepts (e.g., ACID properties) and how they impact migration design and performance trade-offs.
• Strong problem-solving, decision-making, organizational, and time management skills, with the ability to manage multiple priorities with minimal supervision.
• Comfort working in a remote, asynchronous environment, using documented decisions (e.g., issues, proposals, and runbooks) to keep work unblocked across time zones while collaborating effectively across GitLab team members, partners, and customer stakeholders.
• Bachelor's Degree in Information Technology, Computer Science, or other advanced technical degree, or equivalent experience

About the Team: The Professional Services Technical Architect is part of GitLab's Professional Services organization. We partner with customers who are transitioning to GitLab, expanding how they use an existing GitLab installation, or planning complex upgrades to their infrastructure and processes. Our team brings a diverse set of skills across GitLab deployment, maintenance, and day-to-day usage, along with deep technical knowledge of adjacent tools and platforms. Working closely with Engagement Managers, partner consultants, and customer stakeholders, we focus on delivering high-quality outcomes, sharing best practices, and helping customers realize faster time to value from their GitLab investment. We operate in GitLab's remote, asynchronous, and values-driven environment.

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Your key responsibilities will include:

• Owning the deployment, configuration, and lifecycle management of endpoint security tooling (EDR/ETR/EPP, host-based controls, hardening frameworks)
• Designing and enforcing security configuration baselines across Windows, macOS, and Linux systems
• Building and managing configuration enforcement mechanisms (Ansible-based or similar) to detect and remediate drift on endpoints, particularly Linux systems
• Developing automation to deploy endpoint agents and security tooling, apply role/group/system-type specific configurations, and continuously re-apply or enforce desired-state configurations
• Partnering on RBAC design and implementation for endpoint and server access
• Collaborating with IT, Infrastructure, and Security teams to integrate endpoint security with identity and access controls, server and workstation provisioning pipelines, and incident response and detection workflows
• Writing and maintaining code and infrastructure that supports endpoint security enforcement (Python, Bash, PowerShell, Ansible; Terraform as applicable)
• Helping define and document endpoint security standards, runbooks, and operational playbooks

You will serve as a technical voice for endpoint security decisions, tradeoffs, and future roadmap planning.

In exchange for your expertise, you will receive a competitive salary of $110,000 - $168,000 per year, plus bonus, benefits, and equity.

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Rigetti is seeking a Software Infrastructure Manager to lead the team responsible for building and operating the software infrastructure that powers our quantum computing platform.

You will sit at the intersection of cloud systems, on-prem laboratory infrastructure, and semiconductor fabrication environments, supporting both internal research systems and the infrastructure behind Rigetti’s quantum cloud platform.

Key Responsibilities

Infrastructure Leadership & Team Management

• Provide leadership and cohesion for the infrastructure engineering team, helping align priorities and ownership across the group
• Manage and support the development of infrastructure engineers while fostering a collaborative and sustainable team culture
• Increase organisational resilience by reducing reliance on individual experts and building stronger shared knowledge across the team
• Support hiring and help build the case for expanding the infrastructure team as the company grows

Infrastructure Platform Development

• Lead the design, development, and maintenance of the infrastructure supporting Rigetti’s quantum computing platform, including AWS-based cloud systems, Kubernetes-orchestrated container workloads, CI/CD pipelines (GitLab CI), infrastructure automation (Terraform and Ansible), and backend services built primarily in Python/Flask.
• Support data infrastructure including Postgres databases and Kafka streaming pipelines
• Maintain hybrid infrastructure integrating cloud systems with on-prem laboratory and fabrication environments
• Improve internal developer tooling and infrastructure usability to increase engineering productivity across teams
• Guide architecture discussions around hybrid cloud and on-prem infrastructure supporting both research environments and external deployments

Infrastructure Maturity & Operational Excellence

• Help mature Rigetti’s infrastructure capabilities as the company scales by introducing more robust operational practices and processes
• Improve system resilience, reliability, and documentation for production environments
• Identify opportunities to simplify overly complex infrastructure patterns and improve operational efficiency, including examining/improving cost structure

Cross-Functional Infrastructure Support

• Work closely with engineering leadership and cross-functional teams including software engineers, quantum engineers, and hardware teams
• Support the company’s transition toward external hardware deployments, requiring infrastructure that operates across both cloud and on-prem environments
• Integrate infrastructure systems with lab devices, fabrication environments, and specialised hardware platforms

Vendor & Networking Coordination

• Manage relationships with infrastructure and networking vendors
• Evaluate long-term networking strategy and opportunities to bring additional networking capabilities in-house
• Coordinate with contractors and partners supporting infrastructure and networking systems

Requirements

• Experience leading or managing Infrastructure, DevOps, or SRE teams
• Experience building infrastructure in startup or rapidly evolving environments
• Strong hands-on experience with modern infrastructure stacks including:
• AWS or other major cloud providers
• Kubernetes and containerised workloads
• Infrastructure automation tools (Terraform, Ansible, etc.)
• Experience supporting production distributed systems
• Strong communication skills and the ability to collaborate across highly technical teams

Additional Information

As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.

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Key Responsibilities:

• Design, implement, and optimize high-performance, low-latency network architectures for HPC environments, including InfiniBand, RoCE, and high-speed Ethernet.

• Collaborate with HPC, DevOps, and AI research teams to integrate networking solutions with compute clusters, storage systems, and cloud platforms.

• Troubleshoot and resolve complex network issues to minimize downtime and maximize performance.

• Follow escalation procedures and ensure solutions are provided in a timely manner. Ensure escalation is progressing accordingly with the given severity.

• Monitor network performance, capacity, and security, implementing improvements as needed.

• Stay updated with emerging HPC networking technologies and best practices, and drive their adoption within Mistral.

• Develop and maintain documentation for network architectures, configurations, and operational procedures.

Qualifications & Experience:

Technical Skills:

• Proficiency in HPC networking protocols (InfiniBand, RoCE, TCP/IP, MPLS).

• Hands-on experience with network hardware (switches, routers, NICs) from vendors like Mellanox, Cisco, or Arista.

• Knowledge of network automation tools (Ansible, Python scripting).

• Familiarity with HPC environments, parallel computing, and distributed systems.

• Experience with network security best practices.

Soft Skills:

• Strong problem-solving and analytical skills.

• Ability to thrive in a fast-paced, collaborative environment.

• Excellent communication skills (English required; French is a plus).

• Teaching and documentation skills to ensure knowledge is archived and distributed to team members.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany and Singapore. We offer a comprehensive AI platform that meets enterprise needs, whether on-premises or in cloud environments.

Our offerings include le Chat, the AI assistant for life and work.

About The Job

Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world.

Responsibilities

• Onboard customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.

• Work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Collaborate with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning.

• Be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• You are fluent in English.

• You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• You have 2+ years of experience in a DevOps or Site Reliability Engineering role.

• You're experienced with deploying and managing AI-based products in production environments.

• You are fluent in Python.

• You have experience with containerization technologies such as Docker and Kubernetes.

• You have experience with CI/CD pipelines and automated deployment tools.

• You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure.

• You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible.

Benefits

We have local offices in Paris, London, Marseille and Singapore.

France

• Competitive cash salary and equity

• Food: Daily lunch vouchers

• Sport: Monthly contribution to a Gympass subscription

• Transportation: Monthly contribution to a mobility pass

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

UK

• Competitive cash salary and equity

• Insurance

• Transportation: Reimburse office parking charges, or 90GBP/month for public transport

• Sport: 90GBP/month reimbursement for gym membership

• Meal voucher: £200 monthly allowance for its meals

• Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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As a DevOps Engineer, you will be responsible for monitoring and management of cloud environments (AWS, Azure, GCP), assisting with CI/CD pipelines and general code management practices, and develop and maintenance of tooling for deployment of Espresso Systems services.

We are a fully remote team with flexible hours, and offer a competitive salary + equity package, regular team off-sites to international locations, unlimited vacation policy, and top-tier health, dental, and vision coverage for US employees.

Responsibilities: Monitoring and management of cloud environments (AWS, Azure, GCP) Assisting with CI/CD pipelines and general code management practices Develop and maintenance of tooling for deployment of Espresso Systems services

Requirements: Experience working with containers in hosted environments Experience with Terraform or other similar declarative cloud operations technologies Comfort working in the Linux command line

Preferred: Experience with Ansible, AWS container orchestration, Docker, Github Actions, Nix, Rust, and Terraform

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a small company with under 100 employees, operating with the energy of a startup. However, we're also publicly traded, which means our employees get access to the liquidity of our publicly-traded equity.

As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure.

Responsibilities

• Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
• Design and implement scalable solutions for both cloud services and autonomous vehicle systems
• Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
• Drive observability, monitoring, and incident response strategies
• Optimize performance and cost efficiency of cloud and edge computing resources
• Mentor team members and foster a developer-friendly environment
• Manage on-call rotations and incident response processes
• Architect solutions for processing and storing large-scale vehicle telemetry data
• Lead security initiatives and compliance efforts across infrastructure

Requirements

• 10+ years of relevant DevOps/Infrastructure experience
• Proven track record as a technical lead in platform or infrastructure teams
• Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
• Strong experience with service mesh (Istio) and Helm/Kustomize
• Deep understanding of ROS/ROS2 and Linux kernel configurations
• Experience with GPU configurations and ML infrastructure
• Expertise in ARM and NVIDIA CUDA platform configurations
• Strong programming skills in Python and shell scripting
• Experience with infrastructure automation (Ansible)
• Expertise in CI/CD tools (Jenkins, GitHub Actions)
• Strong system architecture and design skills
• Excellence in technical documentation
• Outstanding problem-solving abilities
• Strong leadership and mentoring capabilities

Nice to haves

• Experience with autonomous vehicle systems
• Track record of optimizing GPU-based ML infrastructure
• Experience with large-scale IoT deployments
• Contributions to open-source projects
• Experience with real-time systems and low-latency requirements
• Expertise in security implementations including SSO, IdP, and AWS Cognito
• Experience with JFrog artifactory and container registry management
• Proficiency in AWS IoT Greengrass
• Experience with container resource management on edge devices
• Understanding of CPU affinity and priority scheduling
• Track record of implementing cost optimization strategies
• Experience with scaling systems both horizontally and vertically

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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You are a passionate and experienced network professional with a proven track record of driving reliability, automation, and operational excellence in large-scale environments. You thrive in dynamic, collaborative settings and bring a data-driven mindset to every challenge.

Your expertise spans both campus and data center networks, and you're adept at integrating cutting-edge SRE principles with robust network engineering practices. You are comfortable navigating complex, multi-vendor environments and have a deep familiarity with cloud networking in AWS, Azure, or GCP.

You continually seek opportunities to automate, optimize, and innovate, leveraging tools like Python, Ansible, and AI-driven platforms to reduce manual toil and enhance system resilience. You are an advocate for observability and performance metrics, and you are skilled at implementing monitoring solutions that deliver actionable insights.

Your problem-solving abilities are matched by your commitment to continuous improvement, and you excel at leading incident investigations and root-cause analyses. You value diversity and inclusion, recognizing that the best solutions come from a variety of perspectives and experiences.

Your communication skills enable you to build strong partnerships across cross-functional teams, and you are eager to mentor others and share your knowledge. Above all, you are motivated by the opportunity to make a meaningful impact,both within Synopsys and across the broader technology landscape.

Champion automation initiatives that significantly reduce operational toil, enhance reliability, and boost efficiency at scale.

Own and evolve the observability strategy,driving improvements in monitoring, alerting, logging, and telemetry across multiple teams.

Identify and implement operational improvements, partnering with teams to ensure scalable, sustainable excellence.

Design and build automated operations and maintenance platforms to minimize manual intervention and maximize system performance and resiliency.

Apply deep technical judgment to proactively prevent incidents and lead complex production investigations and root-cause analyses.

Measure and optimize system performance, anticipating customer needs and innovating to continuously improve network capabilities.

Collaborate with cross-functional stakeholders to deliver impactful enhancements to network reliability and scalability.

Leverage AI tools and technologies for process automation and workflow optimization.

Drive Synopsys' network reliability to new heights, ensuring seamless connectivity for global operations and customers.

Enable rapid incident response and recovery, minimizing downtime and safeguarding mission-critical services.

Advance automation and infrastructure-as-code practices, setting new standards for efficiency and operational excellence.

Elevate the observability and performance monitoring capabilities across the network stack, empowering data-driven decision-making.

Foster cross-team collaboration, sharing best practices and mentoring peers to build a culture of reliability and innovation.

Contribute to the continuous evolution of Synopsys' network architecture, supporting future growth and technological advancement.

Shape the adoption of AI-assisted workflows and advanced analytics for proactive network management.

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Your responsibilities will include designing, configuring, deploying, monitoring, and troubleshooting production network infrastructure and associated services, including LAN, WAN, Data Center, remote access, wireless, and firewall security. You will develop and maintain comprehensive documentation for network configurations, processes, security policies, and procedures.

You will define and lead networking strategy aligned with business growth, automation goals, and scalable AI infrastructure. You will implement automation tools and AI-driven solutions to optimize network operations and reduce manual intervention. You will utilize automation tools to standardize deployment configurations and environments for consistency and efficiency.

You will identify and resolve issues related to network and security infrastructure performance, efficiency, and availability. You will communicate effectively with stakeholders at all levels, translating complex technical topics into accessible insights.

As a Sr. Staff Network Engineer, you will enable secure, scalable, and highly available network infrastructure supporting Synopsys' global business operations. You will drive innovation through the adoption of automation and AI, enhancing network efficiency and reducing manual overhead. You will champion best practices and standards that elevate network reliability, security, and performance.

You will mentor and empower team members, fostering a culture of learning, collaboration, and technical excellence. You will contribute to strategic initiatives that align networking capabilities with company growth and emerging technologies. You will enhance stakeholder engagement through clear communication and the delivery of impactful solutions.

You will influence the direction of Synopsys' network architecture, ensuring it remains at the forefront of industry advancements.

To be successful in this role, you will need:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• 8+ years of experience in network engineering, with several years in senior staff or architecture-oriented roles
• Expertise in designing and supporting large-scale enterprise networks
• Deep understanding of network security systems and protocols (IPSec, IKE, GRE, TACACS, RADIUS, 802.1x, NAC, EAP-TLS)
• Expert-level knowledge of networking fundamentals: TCP/IP, switching/routing, BGP, OSPF, DMVPN, EVPN/VXLAN, SD-WAN, MPLS
• Proficiency in wireless standards and technologies: 802.11a/b/g/n/ac/ax, MIMO, beamforming, channel planning
• Experience with network configuration management and automation tools (Python, Ansible, OpenStack, Terraform, REST API)
• Extensive hands-on experience with Cisco, Aruba, Zscaler, Palo Alto Networks equipment and platforms
• Ability to analyze raw packet data to uncover network performance issues (latency, packet loss, application errors)
• Ability to work after hours for project and maintenance needs
• Program management skills to align cross-functional teams and drive results
• Understanding of AI, machine learning, LLMs, MCP technologies
• Relevant certifications (PCNSE, ZIA/ZPA, CCNP, CCDP, CCIE, CISSP, CCDE, CEH, Security+ or equivalent experience) are a plus

As a Sr. Staff Network Engineer, you will be a forward-thinking and innovative individual, always seeking to improve and streamline processes. You will be a collaborative leader and mentor, passionate about empowering others and sharing expertise. You will be an excellent communicator, able to bridge technical and non-technical audiences. You will be adaptable and resilient, thriving in dynamic environments. You will be strategic and detail-oriented, balancing big-picture vision with hands-on execution. You will be committed to integrity, excellence, leadership, and passion,core Synopsys values.

You will join a dynamic global network engineering team responsible for designing and supporting all network services,including LAN, WAN, Data Center, remote access, wireless, and firewall security. This collaborative group is focused on delivering secure, scalable, and resilient network solutions, embracing automation and AI to drive continuous improvement. As a mentor and leader, you will help shape a culture of innovation and learning within the team.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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You are a highly motivated Site Reliability, Staff Engineer with a passion for Linux platforms and a commitment to operational excellence. You thrive in dynamic, multi-faceted environments and are energized by the challenge of deploying, maintaining, and optimizing complex systems. Your curiosity drives you to continually learn and adapt, while your technical expertise enables you to solve intricate problems efficiently.

Administering and managing Linux operating systems, including kernel components, memory management, process scheduling, and system performance optimization. Performing routine and advanced system administration tasks such as monitoring, tuning, and troubleshooting across bare-metal and virtualized nodes. Deploying, configuring, and managing Linux-based operating systems using Kickstart and Ansible for automation and environment standardization. Implementing and managing MAAS (Metal as a Service) for large-scale bare-metal provisioning and lifecycle operations. Operating and maintaining OpenStack environments for On Demand Computing and cloud infrastructure. Providing support for virtualization technologies (VMware, KVM, etc.), including troubleshooting and maintenance. Delivering basic Linux networking support, resolving connectivity, routing, firewall, NIC bonding, VLAN, and interface configuration issues. Collaborating with cross-functional teams to enhance infrastructure reliability, scalability, and security. Creating and maintaining detailed documentation, including configurations, SOPs, troubleshooting guides, and operational runbooks.

Ensuring the reliability and uptime of critical Linux environments that underpin Synopsys' engineering and development operations. Enabling rapid deployment and scalability of infrastructure through automation and standardized processes. Reducing downtime and improving system performance by proactively identifying and resolving technical issues. Enhancing security and compliance across platforms through robust configuration and monitoring practices. Accelerating innovation by providing stable, high-performance environments for development and testing teams. Fostering a collaborative culture by sharing expertise, mentoring peers, and contributing to knowledge repositories.

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We are looking for a Senior Software Engineer to lead our efforts in building and scaling infrastructure service for game development. This is a high-impact role focused on designing, implementing and managing scalable, reliable infrastructure solutions that power GPS tools and services used by game production teams across the company.

As part of Game Production Solutions (GPS), you'll have a direct impact on empowering game developers and improving how games are built and played around the world. You'll work with talented, creative, and driven individuals who are passionate about games and technology.

Key responsibilities include: Architect Orchestration Tools: Assist designing and implementing a unified service for large-scale virtualization, managing provisioning, scaling and monitoring across hybrid environments (Azure/AWS/On-prem) API Development and Launch: Help drive the production launch of a new VM creation API, ensuring high availability through rigorous load testing and integration validation. Infrastructure as Code: Build and maintain modular IaC patterns to automate the lifecycle of compute resources at scale Observability and Reliability: Establish robust monitoring, logging and alerting frameworks (SLIs/SLOs) to provide deep visibility into API health and infrastructure performance Cross-functional Leadership: Drive defect resolution and performance by collaborating with IT, Security and other partner teams. Release Management: Manage phased rollouts, including lighthouse customer pilots, production deployment validation and go-live execution. Documentation: Author high-quality technical specs, production runbooks and troubleshooting guides for our engineering team.

Technical skills required include: Programming Languages: scripting and programming languages such as Powershell, GoLang. Infrastructure as Code: infrastructure-as-code, configuration-as-code automation tools, such as Packer, Terraform, Pulumi, Ansible, Chef, etc. Infrastructure background: Extensive experience managing large-scale compute environments on-premise (vSphere, OpenShift, etc.) and in the public cloud (Azure, etc.) Version Control & CI/CD: Deep understanding of Git-based workflows (GitHub/GitLab) and CI/CD pipeline construction. Containerization: Kubernetes, Docker. Bonus: Experience with Prometheus, Grafana, ELK, CloudBolt, SQL.

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Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

As an Online Backend Software Engineer in Gameplay Services, your focus will be on designing and implementing scalable, distributed backend systems that power our matchmaking, integrated in EA’s biggest titles and enjoyed by millions of players worldwide. You will collaborate closely with your team and partner studios to maintain, enhance, and extend our core services.

Responsibilities:

• Design brand new services covering all aspects from storage to application logic to management console
• Enhance and add features to existing systems
• Research and select new best-of-breed technologies to meet challenging requirements
• Communicate with engineers from across the company to deliver the next generation of online features for both established and not-yet-released games
• Aim to optimize performance and scalability of server systems
• Be a part of the full product cycle for our products, from design and testing to deployment and supporting our LIVE environments and our game team customers
• Maintain a suite of automated tests that validate the correctness of backend services
• Build and maintain a build system
• Advocate for best practices within the engineering team
• Work with product managers to improve new features to support EA’s business

Qualifications:

• Bachelor/Master's degree in Computer Science, Computer Engineering or related field
• 2+ years professional programming experience with Go/C#/C++
• Experience with cloud computing products such as AWS EC2, ElastiCache, and ELB
• Experience with technologies such as Docker, Kubernetes, and Terraform
• Experience with relational or NoSQL database
• Experience with all phases of product development lifecycle, including requirement definition, development, test, and product release
• Adept at solving complex technical problems
• Strong sense of collaboration
• Excellent written and verbal communication skills
• Motivated self-starter and able to operate with autonomy

Bonus Qualifications:

• Experience with Jenkins and Groovy
• Experience with Ansible
• Knowledge of Google gRPC and protobuf
• Experience with high traffic services and highly scalable, distributed systems
• Knowledge of scalable data storage and processing technologies such as Cassandra, Apache Spark, and AWS S3
• Experience with stress testing plus performance tuning and optimization
• Experience working within the games industries

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions.

Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

Our offerings include le Chat, the AI assistant for life and work.

We are seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions.

In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world.

Responsibilities

• Onboard customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. • Work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • Collaborate with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. • Be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• You are fluent in English. • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • You have 2+ years of experience in a DevOps or Site Reliability Engineering role. • You're experienced with deploying and managing AI-based products in production environments. • You are fluent in Python. • You have experience with containerization technologies such as Docker and Kubernetes. • You have experience with CI/CD pipelines and automated deployment tools. • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure. • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences.

Ideally You Have: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager. • Familiarity with AI frameworks such as PyTorch or TensorFlow. • Contributions to open-source projects, particularly in the space of DevOps or AI.

Benefits

We have local offices in Paris, London, Marseille and Singapore.

France • Competitive cash salary and equity • Food: Daily lunch vouchers • Sport: Monthly contribution to a Gympass subscription • Transportation: Monthly contribution to a mobility pass • Health: Full health insurance for you and your family • Parental: Generous parental leave policy

UK • Competitive cash salary and equity • Insurance • Transportation: Reimburse office parking charges, or 90GBP/month for public transport • Sport: 90GBP/month reimbursement for gym membership • Meal voucher: £200 monthly allowance for its meals • Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

About The Job

Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions.

Responsibilities

• Onboard customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.
• Work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• Collaborate with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
• Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• Fluent in English
• Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in a DevOps or Site Reliability Engineering role
• Experienced with deploying and managing AI-based products in production environments
• Fluent in Python
• Experience with containerization technologies such as Docker and Kubernetes
• Experience with CI/CD pipelines and automated deployment tools
• Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
• Experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
• Strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences

Ideally You Have

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
• Familiarity with AI frameworks such as PyTorch or TensorFlow
• Contributions to open-source projects, particularly in the space of DevOps or AI

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What we're all about.

Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future. At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

We're heading in one direction, the future. We'd love you to join us.

At Quantexa we believe that people and organisations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence. Contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organisations - all in one place - so you gain the context you need to make more accurate decisions, faster.

What will you be doing?

You'll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions. The platform is comprised of a landscape of low-maintenance, on-demand, and highly secure environments. Our environments host our software for our customers and partners to use, they also service a variety of internal use cases including underpinning the work of our R&D teams to develop Quantexa Platform software.

You'll be heavily involved with our cloud-based technical infrastructure, with responsibilities surrounding improving the availability and resilience of our platform, improving its usability and security, ensuring we stay at the forefront of technical innovation, and reducing toil across our estate.

You will also work alongside our software engineering teams to leverage DevOps techniques to support our software release activities and work on unique cloud-based product offerings for our customers to use in their own DevOps processes on their own Cloud estate.

Our tech stack

• A strong focus on Kubernetes & GitOps, utilising tools like ArgoCD and Istio
• Infrastructure Management - CasC, IasC (Terraform, Docker, Ansible, Packer)
• Hybrid public Cloud, primarily GCP & Azure, but also some AWS
• DevOps tooling/automation with the best tool for the job, commonly Bash, Python, Groovy, Golang
• Provisioning stack includes Elasticsearch, Spark, PostgreSQL, Valkey, Airflow, Kafka, etcd
• Log and metric aggregation with Fluentd, Prometheus, Grafana, Alertmanager

Requirements

We are looking for candidates who:

• Take pride in designing, building and delivering high quality well engineered solutions to complex problems
• Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
• Commercial or non-commercial experience with programming/scripting/automation
• Good appreciation for information security principals

Experience in the following would be beneficial:

• Experience with infrastructure management and general Linux administration
• Experience with software build and release engineering
• Exposure to a handful of the key parts of our tech stack listed above

Benefits

Why join Quantexa?

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

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BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals.

This is a senior individual contributor engineering role leading the design, development, and implementation of advanced cloud automation solutions. You'll own the execution and delivery of large-scale projects while collaborating across multiple teams in addition to being responsible for hands-on keyboard execution of project components. Example projects include migration of existing on-prem systems to cloud, migration of existing cloud systems to alternate/new cloud(s), integration of acquired systems into our unified environment, and deployment of net-new cloud systems. This role offers high executive visibility, as you will influence strategic decisions and present progress and outcomes to senior leadership.

This role sits within the Aladdin Platform Hosting Services team, which is responsible for building and managing the infrastructure hosting platform upon which the Aladdin system runs. Our team provides reusable infrastructure services and components that allow developers to leverage cloud capabilities in a simple, cloud-agnostic, and scalable manner.

Key Responsibilities

• Architect and implement secure, scalable, and automated cloud infrastructure solutions across multi-cloud environments (AWS, Azure, GCP) tailored for financial workloads.
• Lead automation initiatives using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and CloudFormation to support mission-critical financial applications.
• Develop CI/CD pipelines for cloud deployments and application delivery with strict adherence to financial compliance and audit requirements.
• Champion an automation-first mindset by identifying repetitive tasks and implementing automation solutions—even for processes that initially appear as one-offs.
• Leverage AI tools and frameworks to enhance efficiency, optimize workflows, and enable the broader engineering team to adopt AI-driven solutions.
• Collaborate with risk, compliance, and security teams to ensure all automation processes meet regulatory standards (e.g., SOX, PCI-DSS, FFIEC).
• Adopt a product-centric approach, treating internal platforms and automation frameworks as products with clear ownership, lifecycle management, and continuous improvement.
• Own execution and delivery of large-scale projects, balancing hands-on technical work with cross-functional collaboration across engineering, operations, and governance teams.
• Provide executive-level updates, influencing strategic decisions and ensuring alignment with organizational priorities.
• Evaluate emerging technologies for automation, scalability, and reliability in financial contexts, including cost optimization and resiliency planning.

Required Qualifications

• 10+ years of experience in technology systems development or management, with at least 5+ years focused on cloud automation and infrastructure engineering.
• 3+ years expertise in Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar.
• Strong experience with cloud platforms (AWS, Azure, GCP) and hybrid environments in regulated industries.
• Proficiency in scripting and programming languages (Python, PowerShell, Bash).
• 3+ years hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc), containerization (Docker, Kubernetes), and orchestration frameworks.
• Deep understanding of networking, security, and compliance in cloud environments, including encryption, identity management, and audit logging.
• Excellent leadership, communication, and problem-solving skills.
• Experience in contributing to Agile teams so that everyone achieves their goals

Preferred Qualifications

• Advanced certifications such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Google Professional Cloud Architect.
• Experience with financial compliance frameworks (SOX, PCI-DSS, FFIEC) and automated security controls.
• Background in DevSecOps, automated governance, and AI-driven automation strategies.
• Background in Kubernetes (k8s) system management
• Experience with “next-gen” IaC tools such as Crossplane, Radius, Pulumi, env0, spacelift, etc.

You have:

• Automation-First Attitude: Ability to identify repetitive tasks and implement automation solutions proactively, even for processes that initially appear as one-offs.

• AI Proficiency: Skilled in leveraging AI tools to improve efficiency and enable team adoption of AI-driven workflows.

• Product View: Treats internal platforms and automation frameworks as products, ensuring clear ownership, lifecycle management, and continuous improvement.

• Execution & Leadership: Capable of delivering large-scale projects through hands-on technical work while collaborating effectively across multiple teams.

• Executive Communication: Comfortable presenting technical strategies and outcomes to senior leadership and influencing organizational priorities.

• Motivated: You enjoy rolling up your sleeves and getting your hands dirty

• Why Join Us?

• Opportunity to lead strategic cloud automation initiatives for the Aladdin platform in a highly regulated financial environment.

• Work with cutting-edge technologies and shape the future of cloud engineering in finance.

• Collaborative, innovative environment with career growth opportunities and executive exposure.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock |

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We are seeking a motivated and passionate Network Engineer to join our team. As a Data Center Networking Specialist - Sr Staff, you will be responsible for leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.

What You'll Be Doing:

• Leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.
• Developing strategy and architecture for DC engineering, influencing standards and technology direction across data centers and clouds.
• Program managing complex cross-functional projects, aligning stakeholders and driving collaboration to achieve strategic goals.
• Owning the end-to-end data center design lifecycle, from blueprinting through day2 operations, and creating repeatable templates for broader team support.
• Implementing automation tools and AI-driven solutions to streamline network operations and improve efficiency.
• Establishing and tracking key performance indicators (KPIs) to measure network efficiency, effectiveness, and driving continuous improvements.
• Mentoring and guiding junior engineers, fostering a culture of knowledge sharing and continuous learning.
• Staying current with industry trends and emerging technologies in data center and cloud networking, evaluating their impact on operations.
• Developing and maintaining comprehensive documentation for network configurations, processes, and procedures.
• Communicating effectively with stakeholders at all levels, conveying complex concepts to both technical and non-technical audiences.

The Impact You Will Have:

• Driving innovation in data center and cloud network architectures, ensuring Synopsys remains at the forefront of technology.
• Enhancing operational efficiency and scalability through automation and AI-driven solutions.
• Shaping the standards and technology direction for global data center initiatives.
• Improving network reliability, security, and performance for mission-critical business applications.
• Fostering a high-performing, collaborative engineering culture through mentorship and leadership.
• Enabling seamless integration of emerging technologies and adapting strategies to evolving business needs.
• Reducing manual intervention and operational risks, supporting robust and resilient infrastructure.
• Ensuring documentation and processes are streamlined, accessible, and actionable for all stakeholders.

What You'll Need:

• BS in Engineering or related field; MS preferred.
• 10+ years of experience in network engineering/data center infrastructure with significant production ownership of large-scale networks.
• Expert-level proficiency in DC and service provider grade protocols: BGP, ISIS, MPLS, Segment Routing, EVPN, VXLAN, QoS, traffic engineering.
• High proficiency with Cisco ACI (Application Centric Infrastructure) solutions, including Multi-Pod/Multi-Site architecture and ACI automation (APIC REST/SDK/Ansible collections).
• Proficiency in Python and Ansible for automation.
• Experience integrating telemetry (gNMI/streaming) and flow analytics (NetFlow/IPFIX/sFlow) with platforms like Elastic/Grafana.
• Demonstrated leadership and mentoring abilities, with successful program management experience.
• Strong organizational skills, capable of managing multiple projects and priorities.
• Good to have: Relevant certifications (e.g., CCNP, CCIE – Data Center, AWS certified solution architect), DC operations experience, strong security mindset, ITIL change/incident familiarity.

Who You Are:

• Self-driven and proactive, consistently finding ways to contribute beyond your charter.
• Excellent communicator, able to convey complex concepts to both technical and non-technical audiences.
• Collaborative team player, inspiring and mentoring others.
• Adaptable and agile, thriving in a fast-paced, evolving environment.
• Innovative thinker, always seeking to improve and future-proof network solutions.
• Organized, detail-oriented, and results-focused.
• Strong leader with a passion for continuous learning and development.

The Team You’ll Be A Part Of:

The Synopsys Network and Datacenter team is responsible for the design, vision, and driving major initiatives for Data Center and Cloud. You’ll be joining a diverse, high-impact group of experts who collaborate across global sites to deliver scalable, secure, and innovative network solutions. The team values knowledge sharing, continuous improvement, and a culture of excellence, empowering each member to make a meaningful impact on Synopsys’ technological landscape.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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You are a forward-thinking and highly motivated IT professional with a passion for reliability, automation, and infrastructure excellence. You thrive in dynamic, fast-paced environments where your expertise in data center operations, engineering compute, and automation can make a tangible impact. With a strong foundation in Linux-based environments, virtualization, and network architecture, you bring both depth and breadth to IT operations, ensuring optimal performance and security.

Responsibilities

• Maintain and optimize the Taiwan data center at the Synopsys Hsinchu office, ensuring compliance with corporate IT data center and security standards.
• Manage the full server hardware lifecycle, including rack installation, provisioning, maintenance, and decommissioning.
• Support and manage engineering compute IT environments located at key customer data centers, such as TSMC and MediaTek.
• Collaborate with corporate network and InfoSec teams to maintain data center network infrastructure, including core switches, TOR, firewalls, routers, and circuits.
• Oversee the software architecture of EDA compute, focusing on Linux environments, and provide troubleshooting expertise for virtualization platforms, job schedulers, and remote access solutions.
• Design and implement automation processes to streamline regular tasks, reduce manual effort, and adopt ML/AI technologies for efficient EDA compute orchestration and secure chamber domain management.
• Proactively monitor, analyze, and optimize system performance to maximize uptime and reliability.

Impact

• Ensure the seamless operation and scalability of Synopsys' Taiwan data center, directly supporting R&D and customer-facing teams.
• Enable faster and more reliable silicon design and verification cycles for leading semiconductor companies.
• Drive continuous improvement in data center operations through automation and adoption of cutting-edge technologies.
• Safeguard mission-critical infrastructure by upholding best practices in security and compliance.
• Facilitate collaboration between internal teams and major customers, strengthening Synopsys' reputation as a trusted technology partner.
• Contribute to the global reliability and performance of Synopsys' EDA compute environment, empowering innovation at scale.

Requirements

• Proven experience in data center operations, including server hardware lifecycle management and resource provisioning.
• Strong knowledge of Linux system administration, virtualization platforms, and EDA compute architectures.
• Solid understanding of data center networking concepts, including core switches, firewalls, routers, and security protocols.
• Hands-on expertise in automation tools and scripting (such as Python, Bash, or Ansible), with a track record of process optimization.
• Experience implementing or supporting ML/AI-based solutions for IT infrastructure orchestration is a plus.

Team

You'll join a dedicated IT engineering compute team responsible for maintaining and optimizing Synopsys' Taiwan data center and engineering compute operations. The team plays a critical role in supporting Synopsys' R&D software development and providing seamless support to key customers across Taiwan, including industry leaders like TSMC and MediaTek. You'll collaborate with global IT, InfoSec, and engineering teams, driving future EDA compute expansion and innovation.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We are looking for a Software Engineer to join the Development and Release Engineering team, which supports partner development teams in the Asia-Pacific region. The team collaborates across regions using shared working hours and flexible scheduling. You will report to the DRE Technical Director and work with engineers across the team.

This is a hybrid role (3 days per week in the office) based in the Vancouver office.

Responsibilities

• Implement and maintain CI/CD and build automation pipelines
• Contribute to internal initiatives that improve build reliability, scalability, and developer productivity
• Collaborate with partner teams to support and expand build and infrastructure environments
• Identify manual or repetitive workflows and help implement automated, repeatable solutions
• Monitor automated systems and assist with troubleshooting and issue resolution
• Contribute to shared internal frameworks, tools, and documentation
• Develop or integrate AI-assisted tools to improve efficiency and system reliability, with support from the team

Qualifications

• 2+ years of hands-on experience working with CI/CD workflows and tools such as Jenkins or GitLab CI/CD
• 3+ years of experience automating on-premise and cloud-based infrastructure using tools like Terraform, Packer, or Ansible
• Experience writing clear, maintainable, and testable code in a scripting language such as Python, Groovy, or PowerShell
• Experience using source control systems such as Git or Perforce
• Familiarity with containerization or orchestration technologies (e.g., Kubernetes, ECS, or GKE)
• Exposure to monitoring, observability, or logging tools such as Grafana or Splunk
• Comfortable collaborating with distributed, culturally diverse teams across regions
• Experience with game engines or mobile development is a plus.

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Responsibilities

TCPWave DDI Engineering

• Design, deploy, and manage TCPWave DDI infrastructure (DNS, DHCP, IPAM).
• Migrate legacy DDI platforms (e.g., Nokia QIP) to TCPWave.
• Configure DNS views, zones, forwarders, RPZ, and DNSSEC.
• Manage DHCP scopes, failover configurations, and IP allocation strategies.
• Maintain IPAM structure, network containers, VRFs, VLAN mappings.

DNS Architecture & Security

• Manage internal and external DNS (authoritative & recursive).
• Implement DNS security controls (RPZ, DNS logging, DDoS protection).
• Integrate with security platforms such as:
• Cisco Umbrella
• Splunk
• Monitor DNS performance and mitigate DNS-based attacks.

Automation & API Integration

• Develop automation workflows using TCPWave REST APIs.
• Integrate DDI with:
• ServiceNow (ITSM integration)
• CI/CD pipelines
• Ansible / Python automation
• Enable self-service IP provisioning.
• Automate DNS record lifecycle management.

Operations & Support (24x7 Model)

• Provide L2/L3 support for DDI incidents.
• Troubleshoot DNS resolution failures, DHCP conflicts, IP allocation issues.
• Participate in change management and release governance.
• Ensure compliance with ISO standards and internal audit controls.

High Availability & Performance

• Design HA architecture for DNS/DHCP clusters.
• Ensure disaster recovery readiness and replication strategies.
• Conduct capacity planning and performance tuning.
• Monitor DNS query trends and anomaly detection

Qualifications

• 5–10 years in DNS/DHCP/IPAM engineering
• 3+ years hands-on TCPWave experience
• Bachelor’s degree in Computer Science / IT / Engineering (preferred)
• Relevant certifications (Linux, DNS, Network, Security) are a plus

Job Info

• Job Identification: 59688
• Job Category: Enterprise Technology
• Posting Date: 03/06/2026, 05:57 AM
• Apply Before: 03/12/2026, 02:30 PM
• Degree Level: Bachelor's Degree or equivalent
• Job Schedule: Full time
• Locations: 15 Plot No 13, Chennai, TN, 600119, IN (Hybrid)
• Preferred Degree: Bachelor Degree
• Remote: Yes

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Responsibilities:

• Develop and maintain the CI/CD infrastructure (Jenkins, Docker, Kubernetes)
• Deploy multi-platform desktop applications
• Port and customize open-source libraries for specific environments (Linux, Windows, real-time OS) and specific compilers (MSVC, GCC, Intel C++ Compiler, ...)
• Work with Python for automation scripts and smaller GUI components

Requirements:

• Intermediate-level knowledge of Python
• In-depth understanding of platforms and operating systems
• Attention to detail in design and implementation
• Experience with large-scale software development
• Familiarity with new technologies
• Fluency in English

• Preferably, a university degree in computer science, software development, or similar
• Familiarity with building large C/C++ projects using industry-standard build systems (CMake, Meson) and package managers (Conan, vcpkg, python package managers)
• Experience with CI/CD tools/pipelines and code management systems (e.g. GitHub Actions, GitLab-CI, Azure DevOps (TFS), Git, Artifactory, Jenkins)
• Knowledge of containerization and orchestration of containerized services (Docker, Kubernetes) and cloud technologies (e.g. Azure, AWS)
• Familiarity with configuration Management (Ansible)

What We Offer:

• Competitive compensation
• Flexible working hours
• Comfortable offices
• Hybrid work option
• Contribution to projects of high technical complexity & business value
• International work environment
• Well-organized work at a steady, sustainable pace

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Job Description

We are a technology organisation operating high performance, large scale Linux production environments that support critical platforms and engineering teams. Our focus is on operational excellence, service reliability, automation, and continuous improvement. We run 24x7 operations and partner closely with platform, network, security, and engineering teams to deliver stable, secure, and scalable infrastructure.

Responsibilities

• Leading and managing a 24x7 L1 Linux Engineering / SRE team operating in rotational shifts
• Owning hiring, onboarding, performance management, coaching, and career development for L1 engineers
• Owning L1 production support operations for Linux systems in a 24x7 environment
• Acting as the first leadership escalation point during major production incidents
• Ensuring adherence to SLAs, OLAs, and operational KPIs such as availability and MTTR
• Providing technical oversight across Linux OS, bare metal and virtualized platforms, and monitoring/logging systems
• Driving automation adoption using Ansible, Bash, and Python to reduce manual toil
• Defining and maintaining SOPs, runbooks, escalation procedures, and documentation
• Partnering with platform, network, security, and engineering teams to improve system reliability and resilience

Impact

• Ensuring stable, reliable, and efficient 24x7 L1 Linux/SRE operations
• Reducing incident recurrence and improving incident response and resolution times
• Building a skilled, motivated, and well-governed L1 engineering team
• Improving operational maturity through automation, standardization, and documentation
• Enabling engineering and R&D teams through predictable and resilient platform operations

Requirements

• 10–14+ years of experience in IT Infrastructure, Linux Operations, or SRE
• 4–6+ years of people management experience, preferably managing 24x7 support teams
• Strong hands-on background in Linux system administration and production support
• Experience with incident management, on-call models, and rotational shifts
• Advanced knowledge of Linux OS internals
• Experience with virtualization platforms (VMware, KVM, OpenStack, oVirt)
• Knowledge of monitoring and logging tools (e.g., Nagios, ELK)
• Experience with automation and configuration management (Ansible)
• Scripting skills in Bash and/or Python

Who You Are

• A strong people leader with excellent coaching and decision-making skills
• Calm and effective under high-pressure production scenarios
• Highly structured and data-driven in driving operational excellence
• An effective communicator and stakeholder partner
• Passionate about reliability engineering, automation, and continuous improvement

Rewards and Benefits

• Opportunity to lead mission-critical, large-scale Linux and SRE operations
• High visibility role with exposure to senior leadership and engineering stakeholders
• Ability to shape operational strategy, automation, and reliability practices
• Strong focus on career growth, learning, and leadership development

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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, 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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• 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, may also be provided.

About the Team

OpenAI’s Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation.

About the Role

As a Client Platform Engineer at OpenAI, you will play a pivotal role in securing, enhancing, and maintaining our endpoint management infrastructure across macOS, Windows, iOS, and Android devices. Your focus will be on building scalable, automated solutions that ensure seamless deployments, advanced security configurations, and efficient operational workflows. You will collaborate closely with IT, Security, and Engineering teams to implement modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies. This role offers an opportunity to work with cutting-edge tools and contribute to building a security-first, automation-driven endpoint ecosystem.

In this role, you will:

• Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints.

• Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.

• Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.

• Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).

• Drive initiatives to adopt emerging CPE technologies, industry best practices, and optimize processes for scalability and operational efficiency.

• Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.

You may be a fit for this role if you have:

• Proficiency in a modern programming language (Python, Golang, Ruby, etc.)

• Extensive hands-on experience with Jamf PRO and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.

• Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, etc.

• History of developing and delivering secure, reliable, scalable, and technology solutions.

• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)

• Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.

• Proven track record of deploying and operating fleet management infrastructure in public cloud environments (Azure, AWS, GCP).

• A self-starter with strong analytical and problem-solving skills.

You might thrive in this role if you have:

• Deep experience with open-source fleet management tools and frameworks.

• Experience with containerization technologies such as Docker and Kubernetes.

• Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST.

• Strong soft skills, including stakeholder communication and cross-functional collaboration.

• Relevant professional certifications such as CISSP, CISA, CISM, CCSP.

• A security thought leader with contributions to CPE open-source projects or technical communities.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of

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We are seeking a Client Platform Engineer to join our team at OpenAI. As a Client Platform Engineer, you will play a pivotal role in securing, enhancing, and maintaining our endpoint management infrastructure across macOS, Windows, iOS, and Android devices.

About the Team

OpenAI's Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI's data and systems while ensuring employees are well-equipped and seamlessly connected.

About the Role

As a Client Platform Engineer at OpenAI, you will collaborate closely with IT, Security, and Engineering teams to implement modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies. You will design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints.

Responsibilities

• Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints.

• Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.

• Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.

• Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).

• Drive initiatives to adopt emerging CPE technologies, industry best practices, and optimize processes for scalability and operational efficiency.

• Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.

Requirements

• Proficiency in a modern programming language (Python, Golang, Ruby, etc.)

• Extensive hands-on experience with Jamf PRO and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.

• Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, etc.

• History of developing and delivering secure, reliable, scalable, and technology solutions.

• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)

• Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.

• Proven track record of deploying and operating fleet management infrastructure.

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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• 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, may also be provided.

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About the Role

As a Network Security Engineer at OpenAI, you will play a critical role in architecting and maintaining both campus and cloud network infrastructure. You will design and implement secure, scalable, and high-performing network solutions that bridge on-premises environments with public cloud environments. Your expertise in routing and switching will ensure optimal network performance and reliability across diverse environments. You will drive automation initiatives through Infrastructure-as-Code (IaC) and GitOps methodologies, streamlining network provisioning, enforcing configuration consistency, and optimizing IT workflows. Your responsibilities will also include developing CI/CD pipelines tailored for IT infrastructure, enhancing deployment efficiency, and integrating robust network security measures. You will establish comprehensive observability and proactive issue resolution strategies.

Responsibilities

• Design, build, implement, and maintain secure, scalable, and performant network infrastructure, automation workflows, and network security solutions.
• Drive critical network and IT automation through software development and first-party tooling to optimize network operations, streamline infrastructure management, and enhance IT service delivery.
• Leverage modern Infrastructure-as-Code (IaC) methodologies and GitOps-driven automation to orchestrate network infrastructure, enforce configuration consistency, and scale IT workflows efficiently.
• Build and maintain CI/CD pipelines for IT infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
• Design and implement scalable, network-focused internal tools and dashboards to streamline network operations, optimize network workflows, and provide real-time visibility into network performance.
• Collaborate with security teams to align IT automation initiatives with Zero Trust principles and compliance frameworks.
• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.
• Work cross-functionally to identify areas for IT service improvement and implement self-service solutions.
• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Requirements

• Strong experience with Cisco IOS, Cisco Meraki, Palo Alto or similar Enterprise network vendors.
• Strong Routing and Switching experience including routing protocols (BGP, OSPF, EIGRP).
• Experience with cloud-based network infrastructure (AWS, Azure, GCP).
• Experience with network security technologies (firewalls, VPNs, intrusion detection/prevention systems).
• Experience with automation tools (Ansible, Terraform, GitOps).
• Experience with CI/CD pipelines and DevOps practices.
• Strong understanding of network protocols and architectures.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work with a cutting-edge technology company.
• Collaborative and dynamic work environment.
• Professional development and growth opportunities.
• Recognition and rewards for outstanding performance.

How to Apply

If you are a motivated and experienced Network Security Engineer looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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Client Platform Engineer

Location

San Francisco

Employment Type

Full time

Department

IT

Compensation

• $230K – $325K • 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, 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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• 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, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Platform and Infrastructure Engineering organisation advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritising security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation.

About the Role

As a Client Platform Engineer at OpenAI, you will play a pivotal role in securing, enhancing, and maintaining our endpoint management infrastructure across macOS, Windows, iOS, and Android devices. Your focus will be on building scalable, automated solutions that ensure seamless deployments, advanced security configurations, and efficient operational workflows. You will collaborate closely with IT, Security, and Engineering teams to implement modern endpoint management practices using automation, Infrastructure-as-Code (IaC), and monitoring strategies. This role offers an opportunity to work with cutting-edge tools and contribute to building a security-first, automation-driven endpoint ecosystem.

We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have a strong background in managing macOS and iOS devices at scale, developing automated solutions using scripting, and configuration management tools, and driving operational excellence through process optimisation and collaboration. Your problem-solving mindset and attention to detail will be key to success in this role.

In this role, you will:

• Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the OpenAI fleet comprised of macOS, Windows, iOS, and Android endpoints.

• Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.

• Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.

• Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).

• Drive initiatives to adopt emerging CPE technologies, industry best practices, and optimise processes for scalability and operational efficiency.

• Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.

You may be a fit for this role if you have:

• Proficiency in a modern programming language (Python, Golang, Ruby, etc.)

• Extensive hands-on experience with Jamf PRO and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.

• Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, WinGet, etc.

• History of developing and delivering secure, reliable, scalable, and technology solutions.

• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)

• Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.

• Proven track record of deploying and operating fleet management infrastructure in public cloud

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Location

San Francisco; New York City; Remote - US; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

IT

Compensation

• San Francisco, Seattle or New York City $230K – $385K • Offers Equity
• Zone A $207K – $346.5K • Offers Equity
• Zone B $184K – $308K • 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.

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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• 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, may also be provided.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research.

About the Role

As a Software Engineer on the Identity Infrastructure Engineering team, you’ll be instrumental in creating, deploying, and operating foundational security tools and infrastructure. You will work with a broad range of technologies to support multi-cloud deployments, ensuring that researchers and engineers can safely build, test, and scale transformative AI systems. The role requires a balance of strong technical depth, cross-functional collaboration, and a passion for embedding secure-by-default principles into every layer of our stack.

Responsibilities

• Build new features for our IAM platform that seamlessly integrate with evolving cloud services, enabling teams to work efficiently while adhering to security best practices.
• Drive security innovation by designing tools, processes, and architectures that protect data at scale and reinforce a secure development culture across the organization.
• Collaborate cross-functionally with researchers, engineers, and compliance teams to address security requirements for multi-cloud deployments, large-scale model training, and emerging AI use cases.
• Implement and refine access policies that strike the right balance between enabling rapid experimentation and protecting high-value assets, including model weights and customer data.
• Troubleshoot complex identity or access issues across distributed systems, ensuring minimal downtime and a safe environment for AI research and product teams.

Requirements

• A background in building secure systems—from core IAM services to orchestration layers that manage credentials, roles, or policies at scale.
• Proficiency in programming languages such as Python, Go, or similar, with a track record of writing high-quality, maintainable code.
• Experience with modern cloud infrastructure (AWS, Azure, GCP) and familiarity with industry-standard security protocols (OAuth, SAML, OpenID Connect) and authentication/authorization patterns.
• A security-focused mindset, with knowledge of threat modeling, risk assessment, and the ability to embed security features throughout the software development lifecycle.

Nice to Have

• Experience with containerization (Docker, Kubernetes) and orchestration tools (e.g., Terraform, Ansible).
• Familiarity with CI/CD pipelines and automated testing frameworks.
• Knowledge of machine learning and AI concepts, including model training, deployment, and security.
• Experience with cloud security services (e.g., AWS IAM, Azure Active Directory).
• Familiarity with DevOps practices and tools (e.g., Jenkins, GitLab).

What You’ll Get

• Competitive salary and equity package
• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) retirement plan with employer match
• Paid parental leave and medical/caregiver leave
• Flexible PTO and paid holidays
• Professional development opportunities
• Collaborative and dynamic work environment

How to Apply

If you’re passionate about building secure systems and contributing to the development of cutting-edge AI technology, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects you’d like to share. We can’t wait to hear from you!

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Location

San Francisco

Employment Type

Full time

Department

Security

Compensation

• $293K – $385K

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, 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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• 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, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments.

This is a new, bootstrap team focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. The team replaces bespoke, one off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales.

About the Role

We are looking for a Security Reliability Engineering Lead to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company.

In this role, you will own infrastructure and identity systems end to end, from foundational design and provisioning through policy enforcement, upgrades, recovery, and day two operations. You will establish durable, production grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence.

This role is well suited for a senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure.

This role is based in our San Francisco HQ and requires in-office presence.

In this role, you will:

Set direction and establish strong foundations

• Define and evolve infrastructure patterns for on prem and hybrid environments, including self hosted platforms, vendor supported systems, and lab environments.

• Establish standardized, production grade deployment and operational models that replace bespoke implementations.

• Partner with IT, Security, Identity, and Network teams to ensure infrastructure meets reliability, security, and access requirements by design.

• Design and mature the production architecture for IAM adjacent platforms such as Microsoft Entra using SRE principles.

• Establish common management rules and shared resources within Azure subscriptions to ensure consistent, policy aligned operations.

Build, operate, and scale reliably

• Own the full lifecycle of infrastructure systems, including deployment, upgrades, patching, recovery, and ongoing operations.

• Operate and harden shared infrastructure provisioned through Infra Terraform, ensuring repeatability, auditability, and safe change management.

• Design and implement infrastructure as code and configuration management to support shared services, identity adjacent systems, and endpoint platforms using tools like Chef, Ansible and Terraform.

• Build and operate monitoring, alerting, and incident response mechanisms to meet high availability and recoverability targets.

• Lead incident response and postmortems across infrastructure, identity adjacent platforms, and fleet systems, driving durable fixes and shared learning.

• Build and operate containerized and platform services, including Kubernetes and Docker-based workloads, using DevOps practices that emphasize reliability, repeatability, and safe change management.

• Use Git-based workflows as the source of truth for infrastructure and policy changes, enabling review, auditability, and safe, reversible automation.

Automate for leverage and safety

• Identify high leverage automation opportunities that eliminate manual toil and reduce operational risk across infrastructure and access related systems.

• Implement guardrails, safety mechanisms, and progressive rollout patterns for infrastructure and policy enforcement changes.

• Ensure automation is safe, observable, and resilient under failure conditions, particularly for shared services and high blast radius systems.

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Datacenter Networking Technician, AI Compute Deployment - Stargate

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Scaling

Compensation

• $86.4K – $228K • 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, 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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• 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, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team:

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality.

About the Role:

We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments.

Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

In this role you will:

• Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria.

• Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time.

• Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations.

• Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams.

• Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses

• Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning.

You might thrive in this role if you:

• Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation.

• Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices.

• Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues.

• Adapt quickly to changing build conditions and enjoy learning emerging networking technologies.

• Communicate clearly with construction, engineering, and operations teams to drive projects to completion.

• Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects.

Preferred Skills:

• Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation.

• Experience with hyperscale Clos fabrics or large-scale network design.

• Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting.

• Industry certifications such as BICSI, CCNA/CCNP, or equivalent.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we are building a team of talented individuals who share our values and are passionate about making a positive impact on the world.

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Engineering Manager, Core Services

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $385K • 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, 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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• 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, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Core Services organization builds and runs the mission-critical online services that product teams rely on in production. We own foundational distributed systems and platform capabilities that enable reliable execution, high-performance services, and large-scale file/data needs across our products. This team is distinct from developer infrastructure and data infrastructure—our focus is production service foundations and core runtime services.

About the Role

We’re hiring an Engineering Manager, Core Services to help lead teams responsible for highly reliable, high-scale distributed systems that sit on the critical path for OpenAI products. Your team will own foundational production systems that OpenAI’s product engineering teams build on. You’ll collaborate closely with product and infrastructure partners to ship reliable services quickly, and help scale systems and teams as OpenAI grows. You’ll partner closely with senior engineering leaders to scale the org, mature operations, and drive major platform initiatives. This role requires strong technical ability.

You’ll be responsible for:

• Managing and growing a high-performing, team of infrastructure engineers.

• Leading teams building and operating large, critical production platforms, including cluster reliability, scaling, and rollout safety.

• Building and operating mission-critical distributed systems with strong operational rigor (SLOs, incident response, capacity planning, reliability).

• Setting technical direction for platform foundations such as workflow/orchestration capabilities, large-scale file/blob/storage services, and core service foundations.

• Partnering with a broad set of stakeholders, including product engineering, adjacent infrastructure teams, and (where relevant) finance/cost partners.

• Coaching, mentoring, and developing engineers and emerging leaders.

You might thrive in this role if you:

• Have significant experience leading teams that run mission-critical infrastructure in production.

• Have experience operating mission-critical services, or core distributed systems building blocks.

• Have built platform-like systems (e.g., orchestration/workflow execution, service platforms) and/or large-scale storage/blob/file infrastructure.

• Have experience building systems spanning multiple cloud environments.

• Take pride in building scalable, reliable systems and improving operational health.

• Own problems end-to-end and can move fast in environments with ambiguity and competing priorities.

Workplace & Location

• This role is based in our San Francisco HQ. We offer relocation assistance for new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Provide senior-level network services, including installing, configuring, and integrating network security technologies.
• Configure and manage network security devices such as Palo Alto, ClearPass, and Zscaler firewalls.
• Monitor network traffic, analyze security events, and promptly respond to potential threats or vulnerabilities.
• Participate in advanced security policy decisions (firewall, Zero Trust, Web Proxy, micro-segmentation, security posture).
• Identify and implement automation opportunities to increase productivity and maintain high-quality deployments.
• Provide advanced network analytics for complex issues escalated from Tier I/II support groups.
• Mentor junior team members and contribute to knowledge base and SOP/KB documentation.
• Collaborate with cross-functional teams to resolve complex security-related issues.

What you need

• Bachelor’s degree in a technical discipline.
• Network Security Certifications (PCNSE, ZIA/ZPA, Security+).
• 6+ years of network security and engineering experience in large enterprise environments.
• Knowledge of network fundamentals and protocols.
• Proficiency with network configuration management and automation tools (Algosec, Tufin, Python, Ansible, OpenStack).
• Strong troubleshooting skills on firewall issues.
• Experience with firewall auditing and a drive to stay current with new technologies.

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What you'll do

As a Sr. Network Architect, you will lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs. You will develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments.

• Lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs.
• Develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments.

What you need

• BS in Engineering or related field (MS preferred).
• 10+ years of experience in network engineering/data center infrastructure with significant ownership of large-scale networks.
• Expert-level knowledge of DC and service provider protocols: BGP, MPLS, Segment Routing, EVPN, VXLAN, QoS, and traffic engineering.
• Advanced proficiency with Cisco ACI (Application Centric Infrastructure), including automation via APIC REST, SDK, and Ansible collections.
• Strong experience with network automation (Python, Ansible) and observability tools (gNMI, NetFlow/IPFIX/sFlow, Elastic, Grafana).
• Demonstrated leadership in mentoring teams and managing complex projects from inception to completion.
• Proven program management skills with the ability to align cross-functional teams and achieve results.
• Excellent analytical, organizational, and problem-solving abilities with a focus on KPIs and operational excellence.
• Strong written and verbal communication skills, with the ability to convey technical information to diverse audiences.

Why this matters

This role will shape the strategic direction of Synopsys' network infrastructure, enabling rapid business growth and innovation. It will drive the adoption of cutting-edge technologies and best practices, enhancing Synopsys' competitive edge in the industry.

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What you'll do

We are seeking a highly skilled and motivated Network Engineer with strong hands-on experience in enterprise LAN/WAN environments and a solid background supporting large-scale data centers. In this role, you will play a critical part in maintaining and enhancing the VWGoA network landscape, providing L3 support, driving continuous improvement, and collaborating closely with cross-functional teams across server, storage, cloud and security domains.

What you need

• Demonstrable experience creating Python & Ansible automation, with proven track record of using CI/CD development concepts.
• L3 support to resolve VWGoA incidents in support of their infrastructure.

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What you'll do

You will play a key role in designing, maintaining, and scaling our Kubernetes-based infrastructure, supporting mission-critical applications, and automating operational workflows in a secure and resilient environment.

• Administer and maintain on-prem Kubernetes clusters, including installation, upgrades, patching, and monitoring.
• Automate infrastructure provisioning and configuration management using ArgoCD.
• Troubleshoot system, container, and network-level issues across distributed environments.

What you need

• Proven hands-on experience managing on-premises Kubernetes environments (kubeadm, containerd, etc.).
• Strong experience with ArgoCD for GitOps workflows and continuous delivery.
• Strong knowledge of observability and monitoring stacks, including Grafana Alloy, Prometheus, metrics pipelines, and alerting.

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What you'll do

• Build and Operate Scalable Systems: Support the development, deployment, and maintenance of distributed, cloud-based infrastructure leveraging modern open-source technologies (AWS/GCP/Azure, Kubernetes, Terraform, Docker, etc.).
• Platform Operations and Automation: Develop automation scripts, tools, and workflows to reduce manual effort, improve system reliability, and optimize infrastructure operations (reducing MTTD and MTTR).

What you need

• 1-2 years of experience in Cloud Computing (AWS preferred), Virtualization, and Containerization using Kubernetes, Docker, and/or VMWare.

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What you'll do

• Administer and scale Perforce Helix Core (commit/edge servers, replication, streams)
• Troubleshoot syncs, changelists, stream access, queues, and replication delays

What you need

• 5+ years of Linux (tuning, mounting, troubleshooting, scripting)
• 3+ years of DevOps automation with tools like Ansible, Terraform, or similar

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What you'll do

This technical role in the Game Developer Experience team reports to a Technical Director. It involves envisioning, designing, and building enterprise-grade development pipelines for EA's video games and central services teams. You'll create pipelines integrating custom, off-the-shelf, and packaged applications, and work with EA-built products as well as commercially available products like SonarQube, Perforce, and GitLab.

• Ensure our automation tests all changes to EA’s game build infrastructure before they impact our game teams
• Implement new features and self service capabilities to allow our users to use our services quickly and securely
• Automate and scale our service deployments and workflow automation
• Create monitoring, alerting and dashboarding solutions that improve the visibility into our services' performance and business metrics.

What you need

• An engineer that enjoys digging into code and configuration details to debug complex, multi-system failures and comprehend how things work with an eye for standardization and simplification.
• An engineer with strong proficiency in: Terraform module development and environment deployment, Packer, Ansible, Kubernetes

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And we make games - How cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is challenging. That's why we employ the most creative and passionate people in the industry.

What you'll do

The Challenge Ahead:

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

What you need

• Responsibility 1: Design brand new services covering all aspects from storage to application logic to management console
• Responsibility 2: Enhance and add features to existing systems
• Responsibility 3: Research and select new best-of-breed technologies to meet challenging requirements
• Responsibility 4: Communicate with engineers from across the company to deliver the next generation of online features for both established and not-yet-released games

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What you'll do

• Administer and scale Perforce Helix Core (commit/edge servers, replication, streams)
• Troubleshoot syncs, changelists, stream access, queues, and replication delays
• Support users of all technical levels with source control issues (p4 sync, p4 unlock, etc.)
• Analyse Perforce logs and infrastructure telemetry to resolve system issues
• Tune and maintain Linux servers across VM, bare metal, and cloud environments
• Automate systems using Ansible or similar tools (Terraform optional)
• Contribute to CI/CD pipelines for both internal tooling and game teams
• Build dashboards and alerts with KQL, Grafana, or similar observability tools
• Extend and maintain the .NET-based Perforce management application

What you need

• 5+ years of Linux (tuning, mounting, troubleshooting, scripting)
• 3+ years of DevOps automation with tools like Ansible, Terraform, or similar
• 3+ years with client-server source control systems (e.g., Perforce, ClearCase); Perforce preferred
• Strong understanding of source control commands and workflows(p4 sync, changelists, streams, queues)
• Experience analysing logs and resolving infrastructure-level issues
• Familiarity with VM, bare metal, and cloud infrastructure in scaled environments
• 2+ years of .NET full stack (C#, ASP.NET, HTML/JavaScript)
• Experience with CI/CD pipeline systems
• Proficiency with monitoring tools such as KQL, Grafana, or equivalent

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