Top Linux Jobs in Washington, DC

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

Manage, maintain, and improve secure government cloud, hybrid, and multi-cloud infrastructure (Azure Gov/Azure GCC High, AWS GovCloud, GCP). Provide 24x7 operational support, incident/change management, advanced troubleshooting, compliance with FedRAMP/NIST/DISA/CIS standards, automation/IaC development, capacity and performance management, and technical guidance to improve architecture, security, and service delivery.

Operate and monitor MongoDB Atlas infrastructure, troubleshoot production incidents, automate monitoring and remediation, collaborate globally to reduce MTTR, participate in on-call rotations and second-shift weekend schedules, and support FedRAMP government environments.

Support U.S. government customers running GitLab in highly secure, constrained environments. Troubleshoot deeply using Linux, GitLab internals, logs, and CI/CD, reproduce and fix edge-case defects, contribute documentation and internal tools, participate in on-call rotations, and collaborate with Product and Engineering to deliver durable solutions for FedRAMP, air-gapped, and classified deployments.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

The Senior Solutions Engineer leads technical sales cycles, designs enterprise storage solutions, and partners with sales to drive customer outcomes and revenue growth.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Operate and maintain on‑prem, air‑gapped Linux infrastructure for US government customers. Design, deploy, and monitor hardware, networking, containers, and orchestration; automate operational tasks; troubleshoot production incidents; collaborate on SLOs and participate in on‑call support. Frequent travel to secure sites and working in classified environments required.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Lead and grow a 5–10 engineer autonomy integration team for V-BAT/X-BAT, owning delivery, hiring, mentoring, and technical health. Drive integration of autonomy software (mission behaviors, VTOL transitions, multi-agent coordination), collaborate tightly with aircraft, perception, and capability teams, run ICDs and field tests, and support live exercises and deployments (20–30% travel).

Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.

Develop and implement real-time sensor processing and multi-sensor state estimation algorithms (IMU, radar, cameras, GPS). Design pipelines, run field tests, integrate with cross-functional teams, and optimize for production on compute-constrained systems.

Lead design, integration, and fielding of autonomy software on unmanned platforms. Develop mission behaviors, platform control, multi-agent coordination, and deployment pipelines; own validation from simulation to live tests. Drive technical strategy, cross-team architecture, standards compliance, mentor senior engineers, and support on-site test/mission operations and hardware/software debugging.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software integration, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, improve integration processes, and assist with certification and compliance. Travel ~30-40% for tests and field events.

Develop, integrate, and field autonomy software on unmanned platforms; own end-to-end integration from simulation to live tests; debug embedded/latency-sensitive systems; support on-site flight/sea/space tests; ensure C2 interoperability and improve deployment/test tooling and processes.

Design, implement, and deploy real-time state estimation and sensor-fusion algorithms for autonomous UAVs (IMU, GNSS, visual odometry, radar). Build robust sensor pipelines, conduct simulation/lab/field testing, optimize for constrained hardware, and collaborate across autonomy, software, and hardware teams to transition research into fielded navigation solutions.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software interactions, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, and support certification and compliance. Frequent travel (~30-40%) for field tests.

Develop and maintain Python-based analytics, automated test orchestration, and scenario-generation pipelines for autonomy simulation. Build adapters in C++/Python, analyze logs/rosbags, deploy distributed orchestration with Terraform/Kubernetes, and create telemetry ingestion and reporting frameworks to validate AI Pilot behaviors across secure and commercial environments.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Support and maintain complex applications and infrastructure for a government customer: monitor and triage events, troubleshoot Linux/Windows servers, deploy and integrate software (AWS, CloudFormation, RDS), use Salt for configuration management, work with databases (Oracle, MongoDB, PostgreSQL, MySQL), write SOPs, manage security groups, and support after-hours deployments. Requires strong communication and collaboration with developers and vendors.