Top Linux Jobs in Washington, DC

Hands-on SRE supporting reliability, automation, observability, and incident response. Implement SLIs/SLOs, Infrastructure as Code, telemetry, dashboards, automation, participate in on-call and postmortems, and build AI-powered operational solutions while learning cloud and Kubernetes best practices.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

As a Forward Deployed Engineer, you will work onsite with customers, integrating technical solutions and prototyping tools to meet operational needs.

Lead design and delivery of the public-facing API platform and ingestion services. Build scalable, reliable real-time distributed systems, collaborate with product and data teams, review designs and code, address technical debt, take operational ownership using observability tools, and mentor engineers.

Define and enforce governance and standards for multi-cloud platforms (AWS, Azure, GCP, OCI, Snowflake). Build platform features, implement infrastructure as code, support application teams, ensure reliability/security/cost-efficiency, automate deployments, and manage servers, storage, networking, backup and disaster recovery.

Provide technical implementation and field engineering to integrate telephony/audio and CAD systems with GovWorx cloud solutions. Install, configure, and troubleshoot VoIP/SIP/RTP connections, hardware ingest devices, and network issues; work with PSAP/ECC staff and vendors; participate in on-call rotation and occasional site visits (up to 20%).

Administer, monitor, troubleshoot, and optimize Linux workloads and Azure PaaS/IaaS services. Support connectivity, identity, observability, CI/CD, security patterns, and migrations from VM-hosted workloads to managed Azure services while collaborating with application and DevOps teams.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Design, implement, and manage AWS cloud infrastructure; develop automation scripts (Ruby on Rails, Node.js, PowerShell); collaborate on architecture; monitor and troubleshoot performance; ensure security and compliance; optimize cloud costs; work with Linux and SQL and support IoT integrations.

Develop, test, deploy, and maintain software by collaborating with cross-functional teams. Write clean code, create verification and QA plans, debug and upgrade existing systems, integrate RESTful APIs, use version control, and document functionality. Evaluate user feedback and support deployments.

Build and automate internal tools and services to operate Qdrant Cloud at scale. Develop platform components in Go and Python, improve Kubernetes automation, provisioning, reliability, scalability, and observability. Collaborate on architecture, participate in incident response, and reduce manual operational toil through automation.

Lead the migration of a Windows-based renderer to Linux/Vulkan, ensure cross-backend correctness and performance, build regression/comparison tests, establish profiling workflows, and contribute to advanced rendering features and GPU optimization while collaborating across build, infra, and simulation teams.

Lead Azure platform projects, manage teams, troubleshoot cloud services, ensure security management, and support clients in a 24x7 environment.

Design, implement, and operate observability and reliability for cloud platforms. Measure and monitor production systems, reduce toil via automation, drive incident response and on-call practices, and partner with product and platform teams to improve scalability, resiliency, and observability.

The Principal Engineer will lead the technical ecosystem, ensuring hands-on execution in a high-growth environment, focusing on AI integration and full-stack development.

Design, build, and maintain cloud infrastructure and deployment systems. Create CI/CD pipelines, manage Docker container environments, implement monitoring and alerting, optimize cost and performance, and support blockchain node reliability.

The Principal Software Engineer at Snout will define architectural direction, build features across the stack, and enhance team effectiveness, ensuring quality and performance.

Lead the backend team, setting technical direction for a scalable platform, designing distributed systems in Golang, and mentoring engineers.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Lead embedded Linux platform enablement for Nabu Casa hardware: maintain and improve Buildroot-based OS support, perform board bring-up, debug platform-level issues, optimise performance and reliability, upstream patches to open-source projects, maintain CI for builds, and document platform architecture and procedures while collaborating with hardware teams and open-source communities.

Lead and evolve secure, automated cloud platforms and CI/CD pipelines using IaC, containers, and Kubernetes. Integrate security tooling, mentor engineers, optimize cloud cost and reliability, and produce technical documentation while supporting Generative AI development workflows.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.

Design, build, and optimize edge data-collection agents for Windows, Linux, and Mac. Collaborate with product, UX, and engineering to deliver backend features, own development lifecycle, create automated tests, support SaaS products, and participate in 24x7 on-call rotations.

Build and lead development of a customer-facing metric store for high-volume telemetry. Design scalable backend services, data models, ingestion pipelines, and query execution paths. Optimize query performance, storage efficiency, and system reliability. Collaborate with Product, Design, and Operations from architecture through production, mentor junior engineers, participate in on-call rotation, and help define testing, deployment, and operational practices.

Lead and hands-on contribute to embedded Linux platform development: bootloader, kernel, device trees, root filesystem, build/update systems, board bring-up, debugging, releases, and cross-team coordination. Provide technical leadership, plan work, delegate, and grow into formal management.