Your responsibilities will include designing and optimising CI/CD, build and release workflows across multiple deployment targets, as well as Nix software packaging and NixOS deployments to workstations and embedded systems. The ideal candidate is a skilled coder with deep knowledge of CI/CD, a problem-solver who enjoys simplifying, optimising and automating processes. Experience with Hardware-in-the-Loop (HITL) and Software-in-the-Loop (STIL) systems is highly valued.

As a Senior DevOps Engineer, you will work closely with our Developer Platform, Networking and Security teams to support integration with broader Anduril systems. You will also be responsible for strengthening product security, supporting security practices including testing, secure boot, vulnerability scanning and configuration management for Linux and Nix systems.

The successful candidate will have a strong background in software development, DevOps and Linux, with experience in CI/CD tools, Nix and NixOS. They will be able to design and implement efficient and scalable DevOps solutions, and communicate effectively with cross-functional teams.

In addition to the technical skills, the ideal candidate will be a self-motivated, driven and organised individual who is able to work in a fast-paced environment and prioritise tasks effectively.

XML job scraping automation by YubHub

The Spacecraft Comms team will work closely with related teams, such as the spacecraft design, ground, and flight software, to help improve both the ground and satellite-based capabilities. Your primary responsibility will be the successful design, test, and operations of the various communications links onboard Anduril's fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril's Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. You will work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

Key responsibilities include:

• Contributing to the spacecraft communications subsystems for various spacecraft programs in all orbital regimes
• Integrating with legacy systems to unlock 21st-century capabilities
• Developing modern, software-defined approaches to autonomous spacecraft communications leveraging proliferated constellations of ground and space-based assets
• Owning space-to-ground and space-to-space ICDs and designs for communication subsystems
• Collaborating across multiple teams to plan, build, and test complex functionality
• Coordinating with end-users, other operators, and customers to turn needs into features while balancing user experience with engineering constraints
• Supporting challenging schedules during ground testing, launch windows, and on-orbit operations of the spacecraft systems

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Electrical Engineering, RF Engineering, Computer Science, or other engineering degree
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Flexible and agile problem-solving skills
• Working knowledge of and experience with MATLAB
• Ability to quickly understand and navigate complex systems and detailed requirements
• Experience with RF subsystem design for space-space and space-ground in multiple orbital regimes
• Experience with optical inter-satellite and optical space-ground systems
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills, including creating documentation and training materials
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred qualifications include:

• Experience with Python, Go, C++, and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Experience testing comms subsystems in laboratory environments that mimic the space environmental constraints
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds, and digital spacecraft simulators through nominal and fault scenarios
• Exposure to ground station operations and providers
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

XML job scraping automation by YubHub

The Senior Computer Vision Engineer will be responsible for proposing and prototyping innovative solutions to solve real-world problems, developing and maintaining core libraries and runtime applications, integrating classical and geometric methods in computer vision with ML methods, and working with space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes.

The successful candidate will have a Master's or Ph.D. in Machine Learning, Robotics, or Computer Science, with a strong background in computer vision and machine learning. They will also have experience in one or more of the following: objection detection, object tracking, instance segmentation, semantic segmentation, semantic change detection, natural feature tracking (NFT), visual odometry, SLAM, multi-view geometry, structure from motion, 3D geometry, discriminative correlation filters, stereo, neural 3D reconstruction, multi-band sensor processing, RGB-D and LIDAR sensor fusion.

The Senior Computer Vision Engineer will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software, to develop and implement computer vision algorithms for various spacecraft efforts in all orbital regimes.

The ideal candidate will have excellent communication and organizational skills, including documentation and training material, and will be able to work effectively in a fast-paced environment with tight deadlines.

The salary range for this role is $191,000-$253,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

XML job scraping automation by YubHub

You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team's Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• 'Smart' CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

XML job scraping automation by YubHub

You will define and execute the technical strategy for infrastructure reliability and scalability, build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy, lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes, identify, instrument, and eliminate systemic failure patterns, design and implement high-leverage systems software in Python and Rust, and push the state of the art in large-scale GPU cluster operations and AI workload reliability.

To succeed in this role, you will need 5+ years shipping production software and/or operating distributed infrastructure at scale, expert-level knowledge of Linux systems, TCP/IP networking, and systems programming, strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++, deep experience with large-scale distributed systems in on-prem and cloud environments, hands-on expertise with container orchestration, container runtimes, and infrastructure-as-code, intimate understanding of common failure modes in distributed systems and how to mitigate them, and a track record of participating in (or building) effective on-call rotations in high-stakes environments.

In addition to a competitive base salary, you will receive equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking).

The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

The position requires a strong background in computer vision, machine learning, and software development, with experience in developing and implementing computer vision algorithms for space-based applications. The ideal candidate will have a deep understanding of computer vision principles, including object detection, tracking, and recognition, as well as experience with software development in languages such as C++ and Python.

Key Responsibilities:

• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

Required Qualifications:

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Preferred Qualifications:

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

XML job scraping automation by YubHub

You'll serve as a technical anchor for the team, working closely with your engineering manager, product manager, and partners across Site Reliability Engineering, Release, Security, and Development to shape cloud-native, operator-driven deployment patterns that reduce operational complexity and upgrade friction.

In your first year, you'll help define the architecture for zero-downtime upgrades, strengthen observability and reliability practices, and guide the next generation of deployment automation for self-managed GitLab environments.

Some examples of our projects:

• Evolving GitLab Operator and Helm charts to support zero-downtime upgrades for complex, stateful GitLab installations

• Advancing the GitLab Environment Toolkit to simplify large-scale, production-ready self-managed deployments

Responsibilities

• Guide the technical vision and architecture for GitLab's cloud-native, self-managed deployments and upgrade workflows.

• Establish operational maturity standards, service integration patterns, and deployment models that help development teams manage the lifecycle of their components.

• Design and maintain Kubernetes Operators, Helm charts, and upgrade orchestration tooling for self-managed GitLab deployments across varied environments.

• Develop automation and integration frameworks for database migrations, rolling deployments, compatibility checks, and rollback paths.

• Define database and application lifecycle strategies, including safe PostgreSQL migration approaches and validation mechanisms that reduce downtime risk.

• Work with Product Management, GitLab.com Site Reliability Engineering, GitLab Dedicated, and development teams to align deployment patterns with customer needs.

• Mentor engineers and enable customer-facing teams through design reviews, code reviews, documentation, and runbooks.

• Drive observability, testing, performance, and resilience practices for self-managed deployments, and contribute to incident response and post-incident learning.

Requirements

• Strong software engineering experience designing and delivering production systems that customers install and operate in their own infrastructure.

• Proficiency in Go for large, complex codebases, with familiarity with Ruby on Rails and Rails application architecture as a useful addition.

• Hands-on experience with Kubernetes in production, including building and maintaining Operators, designing Helm charts for stateful applications, and working with Custom Resource Definitions, admission controllers, and controller patterns.

• Knowledge of cloud-native systems and tooling, such as service mesh, observability stacks, infrastructure as code, and automation tools like Terraform or Ansible.

• Experience with stateful workloads and databases, including PostgreSQL schema design and migrations, persistent volumes, storage classes, and approaches for reducing downtime during upgrades.

• Understanding of Linux systems and production operations, including package management, systemd, system-level debugging, observability, incident response, and on-call participation.

• Ability to guide through influence, including writing clear technical proposals, documenting decisions, mentoring engineers, and working effectively across teams.

• Interest in open source infrastructure or deployment tooling, or transferable experience from adjacent domains, with the ability to explain technical concepts clearly to different audiences.

About the Team

The Delivery - Upgrades team sits within GitLab Delivery and focuses on delivering GitLab to self-managed users through supported, validated deployment tooling. We own and evolve the GitLab Omnibus package, Helm charts, GitLab Operator, and the GitLab Environment Toolkit, and we work asynchronously across regions with partners in Site Reliability Engineering, Release, Security, and Development.

Our work centers on enabling zero-downtime upgrades, reducing operational complexity at scale, supporting GitLab’s cloud-native transition while continuing to serve existing deployments, and improving the upgrade experience for customers running GitLab in diverse environments.

For more on how we work, see [Link: Team Handbook Page].

XML job scraping automation by YubHub

Descript is on a mission to make audio and video content creation and editing fast, easy, and accessible to all. We are building a cutting-edge media editor incorporating real time collaboration, ground-breaking UX, and cutting-edge AI.

Job Description

As a Senior Infrastructure Engineer, you will drive projects that let engineers better understand and improve the performance, availability, and quality of what they ship. You will be owning and improving the core production infrastructure and building blocks upon which other engineers depend.

Responsibilities

• Develop technical and business solutions that enable engineers to improve the quality and reliability of product features and systems that they build.
• Drive improvements to the reliability of our core infrastructure, such as production clusters, networking, databases, and observability systems.
• Champion best practices during reviews of code, technical designs, and launch plans.
• Own our incident management and fire drill processes.
• Work with engineering leadership to set goals and prioritize production reliability.

Requirements

• 5+ years experience in production/site-reliability engineering OR 5+ years of server-side software engineering with an interest in working on core infrastructure
• A solid understanding of at least two of: public cloud infrastructure, Linux systems administration, and DevOps tooling.
• Basic coding skills to work on automation and technical guardrails.
• Strong written and verbal communication skills, and the ability to collaborate with other functions
• Experience mentoring engineers, including code reviews, architecture discussions, and leadership skills

Nice to Have’s

• Experience with:

+ TypeScript + Kubernetes + Google Cloud Platform + Terraform

The base salary range for this role is $191K-$250K.

XML job scraping automation by YubHub

Key Responsibilities:

• Build, operate, and scale Kubernetes-based production infrastructure that delivers our products with high reliability and performance.
• Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments.
• Design, implement, and maintain monitoring, alerting, and observability solutions,leveraging the Grafana ecosystem and related tools,to proactively identify and resolve production issues.
• Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes.
• Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs.
• Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems.
• Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards.
• Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.

Requirements:

• 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.
• Knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations.
• Proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance.
• Experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.
• Deep understanding of Linux systems and infrastructure-focused programming, especially in Go and Bash.
• Strong analytical skills and ability to troubleshoot complex production issues.
• Excellent communication skills and ability to share knowledge with technical and non-technical stakeholders.

What Success Looks Like:

• Deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets.
• Champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response.
• Actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles.
• Help CoreWeave maintain industry leadership through flawless execution in supporting demanding, AI-powered workloads at scale.

Why CoreWeave?

• We work hard, have fun, and move fast!
• We're in an exciting stage of hyper-growth that you won't 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 $120,000 to $176,000. 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 location.
• In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

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

Our Workplace:

• While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

XML job scraping automation by YubHub

You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities:

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimize query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modeling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling:

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response:

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration:

• Partner with software engineers to review SQL, optimize schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications:

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimization.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications:

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid #LI-LSS1 requisition ID- P5979_3307978

XML job scraping automation by YubHub

The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. You will develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.

Key responsibilities include:

• Developing and implementing GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes
• Collaborating across multiple teams to plan, build, and test complex functionality
• Coordinating with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Supporting challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems

Required qualifications include a strong engineering background from industry or school, ideally in areas/fields such as Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree. Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems is also required.

Preferred qualifications include experience with testing propulsion subsystems in laboratory environments that mimic the space environmental constraints, conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime, and developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.

XML job scraping automation by YubHub

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

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

About the Team

At Okta, our motto is "Always On." Within the Technical Operations (TechOps) team, we live this mission by building the most reliable and performant systems on the planet. We empower organisations to do their most significant work by securely connecting any person, on any device, to the technologies they need.

The Role

We are seeking a Senior Site Reliability Engineer (SRE) to lead the evolution of our large-scale production systems. This role is designed for a technical expert who thrives on solving complex problems at scale and lives by the ethic: "If you have to do it twice, automate it." Based in the Washington, D.C. area, you will ensure our infrastructure maintains uncompromising reliability and performance while supporting critical national security missions in secure, restricted environments.

Security Requirement: Must be able to obtain and maintain a U.S. security clearance (Secret or Top Secret) to the extent required by U.S. Government contracts.

The selected candidate may be subject to drug testing to the extent required by U.S. Government contracts.

What You’ll Do

• Infrastructure Leadership: Design, build, and oversee Okta’s production infrastructure, ensuring architectural integrity and peak performance.

• Incident Engineering: Act as a senior escalation point for production incidents, conducting deep-dive root cause analysis and implementing permanent, automated preventive solutions.

• Strategic Automation: Eliminate manual toil by developing sophisticated automation frameworks, evolving monitoring tools, and establishing rigorous technical documentation.

• System Resilience: Optimize a highly available, large-scale environment, ensuring "Always On" service delivery across complex network topologies.

• Mentorship: Provide technical guidance to the engineering organisation, championing SRE best practices and a culture of self-education.

What You’ll Bring

Core Requirements

• Clearance: Active TS/SCI with Polygraph.

• Compliance Expertise: Deep professional experience with FedRAMP and DoD IL6 frameworks.

• Education: B.S. in Computer Science or equivalent technical experience.

Technical Expertise

• Networking & Cloud Architecture: Mastery of AWS networking and security, including Transit Gateways, VPCs, Route Tables, ELBs, and NACLS.

• Infrastructure as Code (IaC): Advanced experience automating enterprise-scale infrastructure via Terraform or CloudFormation.

• Systems & Scripting: Expert-level Linux systems administration with proficiency in Go, Python, Bash, or Ruby.

• Production Support: Proven success managing Docker containers and Java-based stacks (Apache/Tomcat) in high-security production environments.

Protocol Knowledge: Solid understanding of networking concepts, IP protocols, and multi-cloud infrastructure.

#LI-TM

#LI-Hybrid

P24505

XML job scraping automation by YubHub

This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Within the Product Security team, our Red Team delivers robust security assurance for Okta's products, services, and infrastructure. You will be the team's dedicated infrastructure and tooling engineer, the first person in this role for a small team of operators. You will work alongside operators but not report through an operator chain; you'll collaborate as a peer focused on a different discipline.

We seek a Staff Security Infrastructure Engineer to own the engineering backbone that enables our operations. This is not a traditional operator role but a dedicated infrastructure, tooling, and automation engineering position embedded within the Red Team.

You will design, build, maintain, and continuously improve the platforms, infrastructure, and custom tooling that our operators depend on to execute engagements. Your work directly enables the team to operate at a higher maturity level: faster infrastructure deployment, more resilient and OPSEC-aware architecture, automated workflows, and reliable custom tooling, freeing operators to focus on the mission.

Your role will also extend to cultivating stakeholder collaboration and elevating our company’s security posture through strategic engagement and proactive measures. As the team matures, this role can evolve toward platform leadership, custom capability development, or a hybrid operator/engineer path.

Responsibilities

Infrastructure Engineering & Automation:

• Own the full lifecycle of red team infrastructure: design, provisioning, configuration, maintenance, and teardown
• Build and maintain Infrastructure-as-Code (IaC) using Terraform (or equivalent) to automate deployment of C2 servers, redirectors, phishing infrastructure, payload-delivery systems, and supporting services.
• Resource and asset lifecycle management through tracking domains, certificates, cloud accounts, recurring expenses, and infrastructure resources; managing acquisition, rotation, and retirement.

Tooling Development & Maintenance:

• Develop, maintain, and improve custom tools, scripts, and automation to support red team operations (e.g., payload generation pipelines, log aggregation, C2 profile management, infrastructure health checks), providing on-demand infrastructure/tooling support when issues or gaps arise.
• Collaborate closely with operators during engagement planning to understand infrastructure requirements, OPSEC constraints, and operational timelines.
• Building and maintaining a representative test environment for pre-operation validation of tools and tradecraft against a security stack similar to the target.
• Maintaining the team's source code repository with merge/pull request processes, documentation, and code quality standards.
• Ensuring engagement evidence, infrastructure logs, and operational data are centrally collected and accessible for reporting and after-action reviews.
• Contribute to and maintain metrics that demonstrate infrastructure maturity, operational efficiency, and readiness (e.g., deployment time, rebuild time, infrastructure availability during engagements).

Security & OPSEC:

• Design infrastructure with OPSEC as a first-class requirement: network segmentation, traffic separation between operations, credential management, and access controls
• Implement and manage secure access to red team infrastructure
• Create and update operational runbooks, infrastructure documentation, and SOPs for the team.
• Maintain clear records of infrastructure ownership and attribution to support deconfliction processes.

Requirements

• 5+ years of professional experience in infrastructure engineering, DevOps, platform engineering, or a similar role with significant automation responsibilities
• Strong familiarity with Terraform (or equivalent IaC tooling) for multi-cloud infrastructure provisioning and management
• Experience operating in cloud-native, SaaS, or identity-focused environments
• Strong proficiency with configuration management tools (Ansible, or equivalent)
• Proficiency in at least one systems programming or scripting language (Python, Go, Bash) with disciplined development practices (version control, code review, testing, documentation)
• Solid understanding of Linux systems administration, networking fundamentals (DNS, HTTP/S, TCP/IP, proxying, TLS), and cloud platforms (AWS, GCP, or Azure)
• Understanding of OPSEC principles as they apply to offensive infrastructure , you know why redirector chains, domain categorization, traffic separation, and certificate management matter.

Desired Qualifications

• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes) as applicable to tooling and lab environments
• Familiarity with C2 frameworks (Cobalt Strike, Mythic, Sliver, or similar) from an infrastructure and deployment perspective , you don't need to operate them, but you need to understand what operators need from the infrastructure
• Familiarity with detection evasion concepts as they relate to infrastructure (e.g., traffic shaping, hosting provider reputation, certificate transparency)

Nice to Have

• Working knowledge of Blue Team operations and related technologies
• Experience with security tool development (implant development, payload engineering, evasion tooling) , this role can grow in that direction
• Familiarity with Red Team maturity models and how infrastructure/tooling capabilities map to organisational maturity

Note: This is not an operator role. You will not be the person running hands-on-keyboard engagements as your primary function. While you may participate in operations to understand requirements or provide support, your core mission is ensuring the team's infrastructure, workflows, tooling, and automation are reliable, repeatable, and mature. You are the engineering foundation the operators build on.

#LI-TM #LI-Hybrid (P22302_3403905)

XML job scraping automation by YubHub

We are training some of the largest models in the world on the latest hardware across multiple environments. To do this reliably at xAI's pace, we need engineers who have battle-tested experience keeping massive distributed infrastructure up and running 24/7, including on-prem and cloud-based infrastructure.

You will own the availability, performance, and evolution of xAI's core compute, storage, and networking infrastructure. This is not an ops-only role , strong coding is a hard requirement. You will design, implement, and ship systems software, automation, and tooling in Python and/or Rust that directly impact training throughput and cluster utilization.

Responsibilities

• Define and execute the technical strategy for infrastructure reliability and scalability
• Build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy
• Lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes
• Identify, instrument, and eliminate systemic failure patterns (capacity, network, hardware, storage, software)
• Design and implement high-leverage systems software (daemons, controllers, schedulers, etc.) in Python and Rust.

Basic Qualifications

• 5+ years shipping production software and/or operating distributed infrastructure at scale
• Expert-level knowledge of Linux systems, TCP/IP networking, and systems programming
• Strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++.

Preferred Skills and Experience

• Significant contributions to large-scale GPU clusters or AI/ML infrastructure
• Experience in on-call rotations and incident response in high-stakes environments.

Compensation and Benefits

$180,000 - $400,000 USD

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

XML job scraping automation by YubHub

You'll build deployment pipelines and internal tooling that let IT Engineering ship like a product team. You'll define SLOs for corporate services, build the monitoring to know when we're missing them, and run on-call for the things you deploy. You'll partner with our network and AV engineers as their infrastructure counterpart , automating physical-world systems, building the telemetry that tells us an office is degraded before someone files a ticket. The scope is broad and the team is deliberately small, which means you'll need depth across cloud, CI, and observability, strong judgment about where to invest, and a bias toward infrastructure-as-code over heroic manual fixes.

Responsibilities ---------------

• Build and operate the cloud infrastructure that hosts IT's internal services
• Design CI/CD pipelines that let IT Engineering ship through code review and automated testing
• Own observability for corporate infrastructure , monitoring, alerting, dashboards, and SLOs
• Write cross-system automation to integrate third-party systems and internal services
• Partner with network, audiovisual, and physical security to deliver robust infrastructure solutions
• Build internal tools , CLIs, bots, dashboards , that make other IT engineers faster
• Run on-call for corporate infrastructure with post-incident reviews that drive durable fixes
• Deploy infrastructure as code

Requirements ------------

• 8+ years building secure IT systems in complex environments
• Excel at solving ambiguous problems with multiple stakeholders
• Communicate technical concepts clearly to any audience
• View IT Engineering as requiring product engineering rigor
• Successfully deliver complex projects from conception to production
• Write clear documentation as a natural part of your workflow
• Have shipped Infrastructure as Code in production , Terraform or similar, with modules and state you maintained
• Have run services with SLOs, on-call rotations, and post-incident reviews
• Have built internal platforms or tooling that other engineers depend on

Strong candidates may also -------------------------------

• Have transformed traditional IT operations into engineering-driven organizations
• Have built strong partnerships with Security and Engineering teams
• Practice modern development methods (code reviews, testing, CI/CD)
• Work effectively in distributed teams
• Have experience with ECS, Kubernetes or other container orchestration for internal services
• Have automated physical-world infrastructure deployment (e.g., network configuration, office technology, physical security systems)
• Have worked with enterprise integration or workflow automation platforms (e.g., Workato, n8n, Tines, or equivalents)

Technical Skills ----------------

• Python, golang, etc
• Terraform and Infrastructure as Code
• Cloud platforms (AWS, GCP, Azure)
• CI/CD pipeline design
• Observability tooling (e.g., Prometheus, Grafana, Datadog, Honeycomb, or equivalent)
• Linux systems administration
• Strong networking skills
• Configuration management

Experience Level: senior Employment Type: full-time Workplace Type: remote Category: Engineering Industry: Technology Salary Range: $275,000-$325,000 USD Required Skills:

• Python
• Terraform
• Cloud platforms
• CI/CD pipeline design
• Observability tooling
• Linux systems administration
• Strong networking skills
• Configuration management

Preferred Skills:

• golang
• ECS
• Kubernetes
• Enterprise integration or workflow automation platforms

XML job scraping automation by YubHub

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities:

• Design, build, and operate distributed backend systems that power secure sandboxed execution environments
• Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
• Implement and maintain serverless architectures and container orchestration systems
• Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
• Develop monitoring, alerting, and observability systems to ensure operational excellence
• Participate in on-call rotations and incident response to maintain system reliability
• Contribute to infrastructure automation and tooling that improves developer productivity
• Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you:

• Have 5+ years of experience building and operating backend infrastructure at scale
• Have deep expertise in distributed systems design and implementation
• Have strong operational experience, including debugging complex production issues
• Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
• Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
• Are comfortable working with infrastructure as code and modern DevOps practices
• Have strong programming skills in languages such as Python, Go, or Rust
• Are results-oriented with a bias towards flexibility and impact
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with:

• Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
• Designing and implementing secure multi-tenant systems
• High-performance computing environments or ML infrastructure
• Linux systems internals, including namespaces, cgroups, and seccomp
• Network security and isolation techniques
• Building systems that support research workflows and rapid iteration

The annual compensation range for this role is $300,000-$405,000 USD.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

XML job scraping automation by YubHub

This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure.

The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime,including close partnership with facility operations to address physical infrastructure impacts.

In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities.

By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation, based on industry benchmarks from high-scale environments like those at hyperscale cloud providers.

Responsibilities:

• Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning.

• Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers,open to innovative stacks beyond traditional ones like ELK.

• Collaborate with cross-functional teams,including software development, network engineering, site operations, and facility operations (critical facilities, mechanical/electrical teams, and data center infrastructure management),to identify reliability bottlenecks, automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation (e.g., power redundancy, cooling efficiency, and environmental monitoring integration).

• Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs.

• Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes or emerging alternatives), and scripting for automation.

• Understand network topologies and concepts in large-scale, multi-data center environments to effectively troubleshoot connectivity, routing, redundancy, and performance issues; integrate observability into data center interconnects and facility-level controls for rapid diagnosis and automation.

• Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives to enhance overall site reliability, including joint exercises with facility teams for physical failover and recovery scenarios.

• Mentor junior team members and document processes to foster a culture of automation, knowledge sharing, and adaptability to new technologies.

Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience).

• 5+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering, preferably supporting large-scale, distributed, or production environments.

• Strong programming skills with proven production experience in Python (required for automation and tooling); experience with Rust or willingness to work in Rust is a plus, but strong coding fundamentals in at least one systems-level language (e.g., Python, Go, C++) are essential.

• Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.

• Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).

• Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools (e.g., Prometheus, Grafana, or alternatives), alerting, and dashboards.

• Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors.

• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.

• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.

• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

Preferred Skills and Experience:

• 7+ years of experience in SRE or infrastructure roles, ideally in hyperscale, cloud, or AI/ML training infrastructure environments with multi-data center setups.

• Hands-on experience operating or scaling Kubernetes clusters (or equivalent orchestration) at large scale, including automation for provisioning, lifecycle management, and high-availability.

• Proficiency in Rust for systems programming and performance-critical components.

• Direct experience integrating software reliability tools with physical data center infrastructure.

• Experience with observability tools and practices, such as metrics collection, logging, tracing, and dashboards.

• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).

• Experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.

• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.

• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.

• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

XML job scraping automation by YubHub

Responsibilities:

• Design, develop, and maintain software systems, using NixOS, for autonomous navigation, control, and communication of surface vessels
• Collaborate with hardware engineers to integrate software with vessel systems, ensuring seamless operation
• Implement algorithms for controls and sensor fusion
• Optimize network communications for low bandwidth/high latency environments
• Conduct software testing and validation to ensure reliability and performance in real-world maritime environments
• Participate in code reviews and maintain high coding standards, ensuring scalability and maintainability of software
• Troubleshoot and debug complex software issues, providing timely resolutions
• Document software designs, processes, and test results for compliance and knowledge sharing
• Stay updated on industry trends, emerging technologies, and best practices in autonomous systems

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 1+ years of experience in software development, preferably in autonomous systems or robotics
• Proficiency in programming languages such as C/C++ or Rust
• Strong understanding of algorithms, data structures, and software design patterns
• Experience with embedded Linux systems and embedded software development
• Experience with low-level serial protocols (e.g., RS-232, CAN) is a plus
• A strong understanding of networking principles and protocols (e.g., TCP/IP, UDP) is a plus
• Familiarity with sensors, control systems, and maritime operations is a plus
• Knowledge of DoD standards and regulations related to software development is a plus
• Excellent problem-solving skills and ability to work in a fast-paced startup environment
• Strong communication skills and the ability to collaborate effectively with cross-functional teams

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.
• Occasional standing and walking within the office.
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.
• Visual acuity to read screens, documents, and reports.
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information: This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

XML job scraping automation by YubHub

You will work on a diverse range of technical challenges, from autonomy and navigation to systems integration and controls.

Responsibilities:

• Design and develop software for autonomous systems and edge devices, including navigation, perception, control, and networking

• Design APIs and system interfaces for integrating onboard hardware, sensors, and cloud services

• Collaborate with robotics, electrical, and mechanical engineers to deliver functional prototypes quickly

• Support and participate in regular field testing and/or Government demonstrations

Qualifications:

• Experience building complex systems, including autonomous platforms and edge devices

• Understanding of autonomous systems, path planning, sensor fusion, or controls

• Strong programming skills in Python, C++, and/or Rust

• Experience with robotics frameworks (e.g., ROS/ROS2) or real-time embedded systems

• Experience with embedded Linux systems and embedded software development

• Experience with low-level serial protocols (e.g., RS-232, CAN)

• Experience with hardware-in-the-loop testing and embedded debugging

• Excellent problem-solving skills and ability to work in a fast-paced startup environment

• Strong communication skills and the ability to collaborate effectively with cross-functional teams

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services

• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care

• Saronic pays 100% of the premium for employees and 80% for dependents

• Time Off: Generous PTO and Holidays

• Parental Leave: Paid maternity and paternity leave to support new parents

• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses

• Retirement Plan: 401(k) plan

• Stock Options: Equity options to give employees a stake in the company’s success

• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.

• Occasional standing and walking within the office.

• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.

• Visual acuity to read screens, documents, and reports.

• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.

• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status.

XML job scraping automation by YubHub

Responsibilities:

• Design, develop, and maintain software systems, using NixOS, for autonomous navigation, control, and communication of surface vessels
• Collaborate with hardware engineers to integrate software with vessel systems, ensuring seamless operation
• Implement algorithms for controls and sensor fusion
• Optimise network communications for low bandwidth/high latency environments
• Conduct software testing and validation to ensure reliability and performance in real-world maritime environments
• Participate in code reviews and maintain high coding standards, ensuring scalability and maintainability of software
• Troubleshoot and debug complex software issues, providing timely resolutions
• Document software designs, processes, and test results for compliance and knowledge sharing
• Stay updated on industry trends, emerging technologies, and best practices in autonomous systems

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Senior Engineers: 3+ years of experience in software engineering, preferably in autonomous systems or robotics
• Strong understanding of algorithms, data structures, and software design patterns
• Experience with embedded Linux systems and embedded software development
• Experience with low-level serial protocols (e.g., RS-232, CAN) is a plus
• A strong understanding of networking principles and protocols (e.g., TCP/IP, UDP) is a plus
• Familiarity with sensors, control systems, and maritime operations is a plus
• Knowledge of DoD standards and regulations related to software development is advantageous
• Excellent problem-solving skills and ability to work in a fast-paced startup environment
• Strong communication skills and the ability to collaborate effectively with cross-functional teams

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.
• Occasional standing and walking within the office.
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.
• Visual acuity to read screens, documents, and reports.
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information

• Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance
• Saronic CCPA Notice for Candidates and California Employees: This role requires access to export-controlled information or items that require “U.S. Person” status.

XML job scraping automation by YubHub

You will be the technical authority on hardware root of trust, secure boot, firmware integrity, embedded system hardening, and the security of third-party hardware integrations. Your work ensures that every component on the vessel is resilient against tampering, exploitation, and supply chain compromise, designed in from the start and maintained across the fleet lifecycle.

Key Responsibilities:

• Conduct hardware security assessments including fault injection, side-channel analysis, interface evaluation, and bus protocol analysis across Saronic-built and third-party hardware including sensors, radios, navigation systems, propulsion controllers, and communication modules

• Evaluate and harden physical interfaces, debug ports, maintenance access points, and removable media interfaces on vessel hardware

• Evaluate supply chain security risks for hardware components and recommend provenance validation, anti-tamper, and attestation controls

• Develop and maintain a hardware security testing capability including tooling, methodology, and repeatable test procedures

• Design and implement secure boot chains establishing hardware root of trust from power-on through application launch, integrating TPM, secure elements, and HSMs for device identity, key storage, measured boot, and remote attestation

• Design and implement secure firmware update mechanisms including signed updates, rollback protection, and verified delivery across the fleet

• Own the cryptographic key lifecycle for hardware-bound keys, including provisioning, rotation, revocation, and escrow

• Harden embedded Linux systems on vessel platforms, including kernel configuration, mandatory access controls, secure IPC, and attack surface reduction

• Secure operational technology protocols and interfaces used in vessel control systems, propulsion, navigation, and sensor fusion including CAN bus, NMEA, and maritime/industrial communication protocols

• Define security boundaries, trust zones, and segmentation strategies for vessel-internal compute and communication architectures

• Drive threat modeling across vessel hardware subsystems and translate findings into actionable engineering requirements

• Produce secure-by-design reference architectures and define hardware and firmware security standards, testing requirements, and acceptance criteria integrated into engineering workflows

Required Qualifications:

• 6+ years of hands-on experience in hardware security, embedded systems security, firmware security, or a closely related security engineering role

• Deep expertise in hardware hacking techniques including fault injection, side-channel attacks, JTAG/SWD exploitation, bus sniffing/injection, and physical security assessments

• Demonstrated experience designing and implementing secure boot chains, hardware root of trust, and secure firmware update mechanisms in production systems

• Strong experience assessing third-party hardware integrations and evaluating supply chain security risks

• Deep knowledge of embedded Linux security hardening, kernel security, and mandatory access control frameworks

• Experience with operational technology security, industrial protocols, or control system security

• Proficiency in C, C++, Python, or Rust in the context of firmware, embedded, or systems-level security work, and with hardware security testing tools

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience in defense, aerospace, robotics, autonomy, maritime, or other high-assurance environments

• Experience with autonomous systems, unmanned vehicles, or safety-critical embedded platforms

• Experience with RTOS, microcontroller security, or resource-constrained device environments

• Knowledge of CAN bus, NMEA protocols, maritime communication systems, RF/GPS/GNSS security, or ICS security standards

• Familiarity with defense or safety-critical compliance frameworks (NIST SP 800-53, IEC 62443, Common Criteria, or equivalent)

• Relevant certifications such as OSEE, GXPN, GSE, or hardware-focused credentials

XML job scraping automation by YubHub

Responsibilities:

• Design, develop, and maintain software systems, using NixOS, for autonomous navigation, control, and communication of surface vessels
• Collaborate with hardware engineers to integrate software with vessel systems, ensuring seamless operation
• Implement algorithms for controls and sensor fusion
• Optimise network communications for low bandwidth/high latency environments
• Conduct software testing and validation to ensure reliability and performance in real-world maritime environments
• Participate in code reviews and maintain high coding standards, ensuring scalability and maintainability of software
• Troubleshoot and debug complex software issues, providing timely resolutions
• Document software designs, processes, and test results for compliance and knowledge sharing
• Stay updated on industry trends, emerging technologies, and best practices in autonomous systems

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Senior Engineers: 3+ years of experience in software engineering, preferably in autonomous systems or robotics
• Staff Engineers: 8+ years in software engineering, including architecture, cross-functional leadership, or platform ownership in autonomy, robotics, or embedded systems. Proficiency in programming languages such as C/C++ or Rust
• Strong understanding of algorithms, data structures, and software design patterns
• Experience with embedded Linux systems and embedded software development
• Experience with low-level serial protocols (e.g., RS-232, CAN) is a plus
• A strong understanding of networking principles and protocols (e.g., TCP/IP, UDP) is a plus
• Familiarity with sensors, control systems, and maritime operations is a plus
• Knowledge of DoD standards and regulations related to software development is advantageous
• Excellent problem-solving skills and ability to work in a fast-paced startup environment
• Strong communication skills and the ability to collaborate effectively with cross-functional teams

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.
• Occasional standing and walking within the office.
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.
• Visual acuity to read screens, documents, and reports.
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

XML job scraping automation by YubHub

This role combines software development, field deployment, and problem-solving to deliver real mission impact. You will collaborate with Business Development and Program Management teams to scope events, integrations, and deliverables, and lead technical demonstrations domestically and abroad.

Responsibilities:

• Design, develop, and integrate software and hardware solutions for custom payloads, missions, and system integrations.
• Lead technical demonstrations and field events, ensuring reliable operation of platforms and integrations.
• Collaborate with Business Development teams to define scope, deliverables, and customer requirements.
• Work closely with operators and end-users, gathering feedback to adapt systems to operational needs.
• Troubleshoot and resolve software, hardware, and networking issues during deployments.
• Partner with engineering, product, and customer success teams to enhance capabilities and ensure mission success.
• Document best practices, deployment procedures, and debugging workflows to improve scalability and reliability.

Qualifications:

• Bachelor’s degree in Electrical, Mechanical, Mechatronics, or Computer Science (or equivalent experience).
• 5+ years of experience developing autonomy or robotics systems.
• Strong software engineering skills (C++, Rust, Python, or similar).
• Experience working in a Linux-based operating system.
• Hands-on expertise in: Mechanical assembly & fabrication (CNC, sheet metal, 3D printing), Electrical integration (power systems, cabling, connectors, PCB bring-up), Rapid prototyping and system-level debugging.
• Proficiency with CAD (SolidWorks, NX, or similar), Linux systems, and electrical test equipment (multimeters, oscilloscopes).
• Experience with sensors (cameras, radar, GPS, IMUs), particularly for perception-driven autonomy.
• Strong problem-solving skills in fast-paced, dynamic environments.
• Experience in systems integration, testing, and customer-facing field support.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Flexibility to travel domestically and internationally (50%+), including throughout the Indo-Pacific and to headquarters in Austin, TX.
• Eligible to hold an Australian Government Security Clearance (NV1 or higher).

Physical Demands:

• Ability to perform physically demanding work for extended periods of time, up to 12 hours/day
• Frequently and repetitively, lift, push and carry up to 18 kgs
• The ability to carry 18 kgs lbs. up and down stairs
• Ability to work outside for an extended period of time
• Frequently and repetitively, bend, lift and reach to install vehicle parts of varying size and weight overhead, accurately and in allotted timeframes
• Ability to stand and walk for up to 12 hours/day, including over varied and uneven terrain
• Stoop, lay, bend, reach, squat, kneel, crouch, twist and crawl for extended periods of time, including up to 12 hours/day
• Climb and maintain balance on ladders, platforms, or other high structures
• Ability to find issues in a work process and be alert to safety signals using sight, touch, and hearing
• Demonstrated ability to handle and manipulate tooling and mechanically fasten bolts within required cycle time
• Exposures to hazardous materials and ability to follow waste handling/disposal procedures
• Wearing Personal Protective Equipment, including but not limited to safety glasses, safety shoes, hearing protection, gloves and adhering to prescribed safety rules and guidelines

Benefits:

• Stock Options: Equity options to give employees a stake in the company’s success
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Medical Insurance: Comprehensive private health insurance
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents

XML job scraping automation by YubHub

This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems.

Your primary responsibilities will be to:

• Build and harden infrastructure security by designing and implementing security controls across cloud infrastructure, Kubernetes and containerized workloads, networking, service meshes, and edge systems, CI/CD pipelines and deployment systems, and secure compute environments for GPU workloads and model execution.
• Implement identity, secrets, and access controls, including machine identity and workload authentication, secrets management and encryption, least-privilege access, and short-lived credentials.
• Protect model weights, inference endpoints, and customer data, design secure data access pathways and isolation mechanisms, and ensure safe multi-tenant execution environments.
• Automate security guardrails directly into infrastructure and CI/CD, use Infrastructure-as-Code to enforce secure defaults, and continuously identify and remediate security gaps through automation.
• Identify and mitigate risks across infrastructure layers, defend against both external attackers and insider threats, and drive projects like network isolation, encryption, and secure service communication.

To succeed in this role, you'll need to have:

• 8+ years in security engineering, infrastructure, or SRE.
• Strong understanding of cloud security, networking fundamentals, Linux systems, and container security.
• Experience building or securing production infrastructure at scale.
• Deep knowledge of authentication and authorization systems, secrets management and cryptography basics, common vulnerabilities and attack vectors, and ability to design security controls across multiple layers.
• Proficiency in at least one language, experience with Infrastructure-as-Code, and strong automation mindset.

Nice to have experience with GPU infrastructure, multi-tenant platform isolation, service mesh architectures, and high-growth startup environments.

What makes this role unique is that you'll work on cutting-edge AI infrastructure security, secure GPU clusters, model execution, and real-time inference systems, have high ownership, and direct impact on developer trust and platform reliability.

Our security philosophy is to enable developers, automate everything, assume breach, and design for resilience.

In terms of compensation and benefits, we offer competitive salary, equity, full health, dental, and vision coverage, and opportunity to work on frontier AI infrastructure.

XML job scraping automation by YubHub

Join us to transform the future through continuous technological innovation. You are a visionary engineer with a passion for leveraging advanced technologies to solve complex challenges. You thrive in dynamic environments, consistently pushing boundaries to drive innovation. With over eight years of experience in distributed systems, enterprise software, and microservices, you possess deep technical expertise and a strong foundation in Python, Go, and modern cloud platforms.

Your knowledge of Kubernetes, containerization, and hybrid cloud architectures is complemented by a robust understanding of Linux systems and automation tools. You are skilled at collaborating across globally distributed teams, bringing clarity to technical discussions and architectural designs. You are self-driven, continuously seeking to learn and experiment with emerging technologies,including Generative AI and LLMs.

Your communication skills enable you to articulate ideas clearly and influence stakeholders, whether they are internal R&D teams or external customers. You are motivated by opportunities to democratize AI, streamline development processes, and empower others with innovative solutions. Your curiosity and resilience drive you to prototype, test, and refine new concepts, ensuring Synopsys remains at the forefront of the industry.

Above all, you value inclusivity, teamwork, and the pursuit of excellence.

Responsibilities

• Design, develop, and maintain scalable cloud services for R&D teams to host Generative AI applications on leading cloud platforms.

• Build and deliver cloud-native, containerized AI systems for on-premises customers, ensuring seamless integration and deployment.

• Lead orchestration of GPU scheduling within Kubernetes ecosystems, utilizing tools like Nvidia GPU Operator and Multi-Instance GPU (MIG).

• Architect reliable and cost-effective hybrid cloud solutions using cutting-edge technologies such as Docker, Kubernetes Cluster Federation, and Azure Arc.

• Streamline onboarding processes for internal products and external customers, creating assets and artifacts that facilitate access to GenAI technologies.

• Collaborate with external customers to understand their environments, constraints, and architectures, defining and integrating tailored platforms and products.

• Prototype, experiment, and test newer technologies,including Generative AI, LLMs, and inference servers,to drive innovation within Synopsys.

Requirements

• BS/MS in Computer Science, Software Engineering, or equivalent.

• 8+ years of experience in distributed systems, enterprise software, and microservices.

• Expert proficiency in Python and Go programming languages.

• Deep understanding of Kubernetes (on-premises and managed services like AKS/EKS/GKE).

• Strong systems knowledge,Linux kernel, cgroups, namespaces, and Docker.

• Experience with CI/CD automation, Infrastructure as Code (IaC), and cloud providers (AWS/GCP/Azure).

• Ability to design complex distributed systems and solve challenging problems efficiently.

• Experience with RDBMS (PostgreSQL preferred) for handling large data sets.

• Excellent written and verbal communication skills.

• Self-motivated with a continuous learning mindset.

• Experience working with globally distributed teams.

• Nice to have: Experience with Generative AI, LLMs, inference servers, and prototyping new technologies.

Who You Are

• Innovative problem-solver who thrives in ambiguity and complexity.

• Collaborative team player, comfortable working with global and cross-functional teams.

• Clear and effective communicator, able to articulate technical concepts to diverse audiences.

• Resilient and adaptable, eager to learn and experiment with new technologies.

• Inclusive and empathetic, valuing diverse perspectives and backgrounds.

• Driven by curiosity, continuous improvement, and the pursuit of excellence.

The Team You’ll Be A Part Of

You’ll join the Synopsys Platform Engineering team,an innovative, globally distributed group dedicated to transforming R&D product development and deployment. Our team is passionate about leveraging cloud, containerization, and AI technologies to streamline workflows and accelerate innovation. We work collaboratively, experiment boldly, and support each other in delivering high-impact solutions that shape the future of electronic design automation.

XML job scraping automation by YubHub

As a Technical Writer Intern, you will assist writers in producing and updating customer documentation for Mixed Signal and Digital Interface IP products. You will support all aspects of documentation production, including content review, editing, formatting, and publishing. You will collaborate with technical teams to explain complex concepts in clear, concise language. You will learn and use documentation tools and processes, including XML/HTML and Linux-based systems. You will contribute to continuous improvement by suggesting new ideas and approaches for documentation efficiency and quality.

To be successful in this role, you will need to be currently pursuing a BS in a technical field. You will need good English language skills (both verbal and written). Familiarity with XML/HTML, Linux systems, and shell commands is a plus. You will need to be able to quickly learn new technologies as needed. You will need to be detail-oriented, results-driven, and a collaborative team player.

XML job scraping automation by YubHub

Responsibilities

You will play an integral role in the team responsible for the major build-out of functionality on the infrastructure platforms, services and associated backend infrastructure. You will collaborate with cross-functional teams to define, design, and deliver new features. You will manage specific aspects of the buildout, which includes planning and communicating with senior stakeholders.

You will prepare documentation, provide guidance, conduct code reviews, and offer mentorship to elevate the skills of the team and the quality of our projects. You will continuously explore and implement improvements to enhance efficiency and performance. You will troubleshoot and resolve issues across various environments and platforms.

Qualifications

You will have a comprehensive understanding of software architecture and design patterns. You will have minimum 5 years of expertise in Python, including at least one popular Python framework. You will have minimum 5 years of practical experience with web frameworks for building RESTful APIs in Python, such as Django or FastAPI.

You will have strong problem-solving skills with a proactive approach to addressing challenges. You will have minimum 5 years of practical experience in DevOps and Infrastructure roles. You will have experience in CI/CD pipeline design and automation tools. You will have familiarity with front-end technologies, such as JavaScript, HTML5 and CSS.

You will have experience with SQL/no-SQL databases. You will have experience with Cloud Technologies, such as Azure or AWS. You will have experience with containerization and orchestration technologies, like Docker or Kubernetes. You will have familiarity with Linux systems, equivalent to LPIC-2.

You will have knowledge of security best practices in software development. You will have familiarity with general IT infrastructure topics: Virtualization, Storage, Networking, etc.

This is a hybrid role, with 3 days per week working from our office in Bucharest.

XML job scraping automation by YubHub

At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.

With a global presence, we develop future-ready products and provide best-in-class services for our partners around the world. For us, originality isn't just about where we began; it's about where we're headed and how we'll lead the way. We are originality in motion.

Our corporate values—Care, Integrity, Passion, Unity, and Excellence—are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve. At Valvoline Global, we are united in our commitment to:

• Treating everyone with care.
• Acting with unwavering integrity.
• Striving for excellence in all endeavors.
• Delivering on our commitments with passion.
• Collaborating as one unified team.

Job Purpose

The Senior Platform Engineer – MuleSoft Platform & Ops Automation is responsible for the stability, security, scalability, and automation of the MuleSoft Anypoint Platform across cloud and hybrid environments. This role owns the operational health of enterprise integration services, ensuring reliable API and integration execution while reducing manual effort through automation. The role combines deep platform administration expertise with DevOps and operational leadership, acting as the escalation point for complex incidents and platform design decisions. Working closely with architecture, application engineering, DevOps, and security teams, this role ensures MuleSoft remains a resilient, compliant, and high-performing enterprise integration platform.

How You Make an Impact (Job Accountabilities)

• Own the operational stability, performance, and availability of the MuleSoft Anypoint Platform across production and non-production environments
• Administer and optimize MuleSoft Runtime Manager, API Manager, Access Management, AnypointMQ, RPA, Intelligent Document Processing, Partner Manager, and Runtime Fabric or CloudHub deployments
• Administer and optimize use of Design Center, Exchange, and Anypoint Experience Hub for presentation and consumption of APIs to internal and external audiences.
• Monitor, report, and forecast on MuleSoft platform consumption to ensure accuracy in budget forecasting and environment expansion based on platform licensing.
• Administer and optimize delivery of software used on developer workstations such as Anypoint Studio, Anypoint Code Builder, Postman, and Github Desktop

• Design, implement, and maintain CI/CD pipelines to automate MuleSoft deployments, environment promotion, and rollback strategies

• Lead production incident response, root cause analysis, and preventative remediation for integration and API failures
• Implement observability, monitoring, alerting, logging, and SLA frameworks to ensure proactive detection and resolution of platform issues
• Enforce platform standards for security, configuration, and operational readiness in alignment with enterprise architecture and compliance requirements
• Support API gateway configuration, TLS certificates, policy enforcement, and secure integration patterns
• Plan and execute MuleSoft platform upgrades, patches, and capacity scaling initiatives
• Collaborate with infrastructure, security, network, application, DevOps, and architecture teams to deliver reliable, secure, and scalable integration solutions
• Engage with MuleSoft Account Managers, committees, and/or user groups to stay ahead of platform changes, new capabilities, and emerging technologies
• Manage platform documentation in tools such as LeanIX and ServiceNow CMDB
• Architect, implement, and support Disaster Recovery plans for the MuleSoft application environments
• Implement security best practices and solutions for users and applications consuming MuleSoft capabilities

What You Bring to the Role (Qualifications)

• Seven (7) or more years of experience supporting enterprise-class applications, middleware, or integration platforms
• Three (3) or more years of hands-on administration and engineering of the MuleSoft Anypoint Platform
• Strong experience operating MuleSoft in production environments including CloudHub, Runtime Fabric, or hybrid deployments
• Hands-on experience with Code, Container, and Artifact Repository tools such as Bitbucket, Github, Maven, JFrog, or similar
• Experience with CI/CD automation tools such as Jenkins, Azure DevOps, GitHub Actions, Sonarqube, or similar
• Hands-on experience with API-led connectivity, REST and SOAP web services, RAML, and OpenAPI
• Hands-on experience supporting EDI and B2B connectivity and message exchanges with 3rd parties
• Hands-on experience with Event Driven Architecture, Message Queueing, and Pub/Sub integration patterns
• Strong troubleshooting skills using MuleSoft debuggers, flow analyzers, and performance tuning techniques
• Experience with Linux systems, scripting (Python, Bash, etc), and automation for platform operations
• Ability to communicate technical issues and remediation plans to engineering teams and leadership

Competencies Desired

• Hands on admin Mulesoft platform experience – must have
• Hands on admin Webmethods experience – nice to have (legacy architecture)
• Platform Stability and Reliability
• Automation and DevOps Enablement
• Production Incident Leadership
• Security and Compliance Alignment
• Cross-Team Collaboration
• Technical Problem Solving
• Operational Documentation Discipline

Certifications Desired

• MuleSoft Certified Integration Architect
• MuleSoft Certified Platform Integration Architect

Working Conditions / Physical Requirements / Travel Requirements

• Primarily office or remote work with standard computer and virtual collaboration tools
• May participate in 24x7 on-call rotation to support production systems
• Travel requirements: Some may be required for team building and major project rollouts. Travel 5%.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

About the role:

• Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight
• Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
• Mentor engineers across the security team and broader engineering organisation, contribute to hiring, and grow security engineering culture at Anthropic
• Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team

Developer security and supply chain

• Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement

Identity and secrets management

• Architect systems that protect sensitive assets including model weights, customer data, and training datasets
• Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments

Infrastructure security

• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Secure frameworks

• Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves
• Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls

You may be a good fit if you have:

• At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
• Deep understanding of identity systems, cryptographic primitives, and secrets management
• Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
• Experience leading cross-functional security initiatives and navigating complex organisational dynamics
• Outstanding communication skills, translating technical concepts effectively across all levels of the organisation
• A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure
• Built security frameworks or libraries adopted across an engineering organisation
• Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations
• Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimisation
• Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent
• Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation
• Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance
• Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement
• Experience building runtime security monitoring using eBPF or kernel security policies

Deadline to apply:

None, applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning the total amount of money an employee is expected to earn in a year, including bonuses and other forms of compensation.

XML job scraping automation by YubHub

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organisation. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities

• Design, build, and operate distributed backend systems that power secure sandboxed execution environments
• Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
• Implement and maintain serverless architectures and container orchestration systems
• Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
• Develop monitoring, alerting, and observability systems to ensure operational excellence
• Participate in on-call rotations and incident response to maintain system reliability
• Contribute to infrastructure automation and tooling that improves developer productivity
• Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you

• Have 5+ years of experience building and operating backend infrastructure at scale
• Have deep expertise in distributed systems design and implementation
• Have strong operational experience, including debugging complex production issues
• Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
• Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
• Are comfortable working with infrastructure as code and modern DevOps practices
• Have strong programming skills in languages such as Python, Go, or Rust
• Are results-oriented with a bias towards flexibility and impact
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with

• Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
• Designing and implementing secure multi-tenant systems
• High-performance computing environments or ML infrastructure
• Linux systems internals, including namespaces, cgroups, and seccomp
• Network security and isolation techniques
• Building systems that support research workflows and rapid iteration

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that everyone is aligned and working towards the same goals.

XML job scraping automation by YubHub

The ML Infrastructure team at Cursor builds large-scale compute, storage, and software infrastructure to support the company's work building the world's best agentic coding model. We're looking for strong engineers who are interested in building high-performance infrastructure and the software to support it. This role works closely with ML researchers and engineers to enable their work through improvements to our training framework, systems reliability/performance, and developer experience.

What you'll do

• Collaborate with ML researchers to improve the throughput and reliability of training
• Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure
• Improve the density and scalability of compute environments to enable increasingly large RL workloads
• Create software and systems to automate building, monitoring, and running GPU clusters
• Build workload scheduling and data movement systems to support Cursor's growing training footprint

You may be a fit if

• A strong background in systems and infrastructure-focused software engineering, particularly in Python, Typescript, Rust, and Golang
• Experience with distributed storage and networking infrastructure, particularly on Linux systems across cloud and bare metal environments
• Exposure to large-scale systems and their unique challenges, ideally across thousands of nodes with significant resource footprints

Nice to have

• Operational exposure to Nvidia GPUs with Infiniband or RoCE, particularly with Blackwell and Hopper-class hardware
• Exposure to Ray, Slurm, or other common compute and runtime schedulers

Name Email ↥ Upload file LinkedIn URL GitHub Profile

Please write a short note on a project you're proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

XML job scraping automation by YubHub

In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties.

This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems.

Responsibilities

• Build high-throughput backend applications and services, like streaming chat between user and agent.
• Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time.
• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.
• Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)

Required Skills and Experience

• 5+ years professional experience in building backend services, systems and platforms
• Someone who values simplicity and pragmatism—you think radically but ship incrementally.
• Self-directed and comfortable working autonomously.
• Collaborative and team-oriented with a strong sense of shared ownership.

Preferred Qualifications

• Experience across the full-stack.
• Experience building AI powered tooling or products.
• Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.
• Experience with event sourcing systems.

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $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.

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:

The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases.

About the Role:

We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.

In this role you will:

• Design, build, and operate high-performance distributed systems

• Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude

• Define long-term technical direction and guide system evolution

• Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure

• Dig deep into complex production issues across the stack

• Contribute to incident response, postmortems, and best practices for system reliability

You might thrive in this role if you:

• Have significant experience building, scaling, and optimizing distributed systems at scale

• Are curious about database internals, storage engines, or low-latency query systems

• Enjoy debugging challenging performance issues in complex, high-throughput systems

• Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems)

• Think rigorously about scalability, correctness, and reliability

• Thrive in fast-paced environments with high autonomy and impact

Qualifications:

• 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead

• Experience with distributed systems at scale, with a strong focus on performance, reliability, and scalability

• Strong communication skills and ability to collaborate across highly technical and cross-functional teams

• Proficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferred

• Fluency in cloud environments (AWS, GCP, Azure) and IaC tools (Terraform or similar)

• Experience with Linux systems, CI/CD pipelines, and modern observability stacks (Prometheus, Grafana, etc.)

• Domain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not required

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.

XML job scraping automation by YubHub

What you'll do

You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable.

• Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers.
• Design internal tools and automation to improve developer workflows and operational efficiency.
• Support the design, deployment, and monitoring of cloud-native systems on AWS.
• Contribute to improving CI/CD pipelines, testing infrastructure, and release processes.
• Debug and optimize Linux-based services, containers, and backend systems.
• Contribute to product codebases, primarily using Rust, Go or C++.

What you need

• Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects.
• Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement.
• Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance.
• A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment

XML job scraping automation by YubHub

What you'll do

As a Senior DevOps Engineer, you will be responsible for the following tasks:

• Own and continuously improve the DevOps toolchain for embedded software and software, from source control to release artifacts

• Design, implement, and operate reliable CI/CD pipelines for firmware build, test, and release

• Drive automation to ensure reproducible, traceable, and scalable firmware builds

What you need

To be successful in this role, you will need the following skills:

• Senior-level experience as a DevOps Engineer, ideally in embedded software environments

• Strong hands-on experience with CI/CD pipelines and automation

• Solid understanding of embedded software development constraints in consumer electronics

• Experience with automated testing, simulation, or abstraction techniques for embedded systems

• Strong understanding of embedded security concepts, including signing and controlled release processes

• Broad technical expertise across Linux systems, build environments, and development tools

• High degree of ownership, reliability, and independent working style

• Clear, pragmatic communication skills

• Familiarity with the consumer electronics or computer peripheral industry and its product lifecycles

XML job scraping automation by YubHub