Top Linux Jobs in Washington, DC

As an Android Software Engineer, you'll design and develop applications, enhance Android components, and improve telemetry solutions for device reliability in rugged tech environments.

Develop and maintain enterprise Ansible automation, infrastructure-as-code solutions, REST APIs, scripts, CI/CD pipelines, and integrations across complex infrastructure environments. Manage automation projects through the full software development lifecycle, support production systems, document solutions, troubleshoot issues, and collaborate with infrastructure, security, and service teams. The role requires secure coding, Agile delivery, on-call participation, U.S. citizenship, and eligibility for Public Trust clearance.

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Lead and grow an engineering team building agentic development systems. Set technical direction, contribute to architecture and implementation, and improve agent execution, tool use, context management, streaming, reliability, performance, and operability. Partner with Product and Design to create developer experiences while extending provider-agnostic model integrations. Coach engineers, clarify priorities, and maintain a high technical and execution standard.

Design, operate, and evolve production GCP infrastructure, including GKE clusters, networking, IAM, shared services, and Terraform automation. Troubleshoot complex Kubernetes, Linux, networking, DNS, and distributed-systems issues; improve observability, security, scalability, reliability, and cost efficiency. Lead upgrades, migrations, architecture improvements, technical reviews, and mentorship while partnering with Platform Engineering, SRE, and Security teams.

Designs, deploys, automates, and operates secure, scalable Azure cloud platforms. Responsibilities include infrastructure as code with Terraform, AKS and container management, Azure DevOps CI/CD pipelines, cloud networking, identity and access administration, monitoring, troubleshooting, security compliance, cost optimization, and hybrid or multi-cloud connectivity. The role also administers Windows and Linux environments, supports Microsoft 365 and Active Directory, documents operational standards, collaborates across teams, and mentors others on cloud and DevOps practices.

Build and manage secure cloud platforms, automated deployments, infrastructure as code, Kubernetes environments, and self-service developer capabilities. Administer Linux systems, troubleshoot production services, manage accounts and documentation, and collaborate with developers to resolve issues. The role includes operational ownership, on-call support, customer collaboration, AI-augmented delivery, and up to 25% travel. U.S. citizenship and the ability to obtain a security clearance are required.

Designs, deploys, maintains, and secures cloud solutions across AWS, Azure, GCP, and OCI. Develops automation using Bash, PowerShell, and Python; monitors and tunes cloud platforms; maintains documentation and operating procedures; advises implementation teams; supports migrations and infrastructure buildouts; resolves escalations; and collaborates with internal and external stakeholders.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

Own and scale multi-cloud infrastructure across AWS, GCP, Cloudflare, and Hetzner. Manage Kubernetes production environments, Terraform infrastructure, observability, monitoring, CI/CD, incident response, networking, security, and cloud cost optimization. Partner with engineering teams on architecture, deployment reliability, developer experience, and AI workload infrastructure. Participate in L2 on-call rotations and lead lasting improvements to infrastructure resilience and performance.

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.

Provides Tier III administration for mission-critical Linux and Windows infrastructure across multiple datacenters. Responsibilities include managing RHEL systems, Windows environments, VMware vSphere, Oracle appliances, DNS, user permissions, repositories, system performance, backups, logs, and Bash automation. The role also supports secure cloud and on-premises platforms, virtualization, containerization, Ansible automation, STIGs, RMF, and DoD cybersecurity standards while partnering with cybersecurity and engineering teams.

Designs, integrates, deploys, and troubleshoots autonomy and vehicle-intelligence systems across embedded hardware and software platforms. Responsibilities include integrating sensors, autopilots, datalinks, PNT/GPS/INS, and ground control stations; supporting UAV flight tests; conducting SIL and HIL validation; collaborating with vendors and defense customers; and delivering customer demonstrations. The role requires strong C++ development, robotics integration, networking, embedded Linux, and eligibility for a U.S. security clearance.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Designs, deploys, tests, certifies, operates, patches, and maintains DevSecOps infrastructure tools and dependencies. Manages Linux servers, infrastructure-as-code deployments, containerized and cluster-based architectures, dynamic website services, monitoring tools, and primary operations and maintenance functions. Uses scripting and programming to troubleshoot interoperability and infrastructure issues while supporting secure, reliable federal mission environments.

Develop and maintain cloud service delivery models and architectures across PaaS, IaaS, SaaS, and DaaS. Implement DevSecOps automation, migrate applications to cloud environments, debug cloud stacks, optimize costs, establish secure cloud environments, and ensure availability. The role requires AWS, Linux, Bash, Terraform or Vault, Kubernetes, DNS, load balancing, and TLS experience, along with an active Top Secret clearance and CI Polygraph eligibility.

Design, build, and operate Cloudflare’s globally distributed cache and reverse-proxy data plane. Responsibilities include improving Pingora-based asynchronous systems, cache performance and correctness, purge and Tiered Cache services, APIs, observability, reliability, and production operations. The role owns features end to end, including design, implementation, testing, staged rollouts, incident response, and cross-team collaboration.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Build and maintain automated infrastructure and CI/CD pipelines using Terraform, Docker, Traefik, and Makefile. Implement observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry), backups (pgBackRest/Postgres15), and cloud/Linux administration. Automate deployment and monitoring for AI agent services and support monorepo workflow with SRE and DevSecOps teams.

Build, deploy, automate, secure, and maintain GCP cloud environments supporting federal modernization. Responsibilities include Terraform-based infrastructure as code, GCP compute, networking, IAM, containers, serverless services, CI/CD pipelines, monitoring, logging, troubleshooting, compliance, and technical documentation. The engineer will manage services such as GKE, Cloud Run, Compute Engine, VPC, Secret Manager, Pub/Sub, and Workload Identity Federation while meeting performance and federal security requirements.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Designs and implements advanced modeling and simulation tools to evaluate system performance and support strategic decision-making for national defense. The role involves quantitative analysis, agent-based and physics-based modeling, AI/ML optimization, reinforcement learning, EO-IR and 3D simulation, and collaboration with government clients. Preferred experience includes high-performance computing, computer vision, parallel programming, autonomous systems, and Linux or Unix environments.

Lead technical direction and major multi-team projects for Chainguard Containers. Design and operate secure container build pipelines, registries, distribution systems, and adoption tooling. Remain hands-on with Go development, architecture, code review, observability, and on-call operations. Form roadmaps with product and engineering leaders, make product-level trade-offs, mentor senior engineers, collaborate across teams, contribute to open-source and industry standards, and establish safe AI-assisted engineering practices.

Own Anthropic’s endpoint platform, including MDM infrastructure, macOS and mobile configuration as code, patching, zero-touch provisioning, telemetry, compliance controls, and automation. Operate the platform as a production service with observability, incident response, progressive rollouts, and rollback. Partner with Security, developer, and infrastructure teams on endpoint hardening and trusted-device access. Support Linux systems, document platform operations, and provide advanced escalation support.