Top Senior Linux Jobs in Washington, DC

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.

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.

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.

Executes systems engineering across R&D platforms, hybrid cloud, SaaS, HPC, containers, integrations, data pipelines, observability, and AI architectures. Coordinates Enterprise IT, vendors, cybersecurity, compliance, and scientific stakeholders to deliver secure, scalable, validated, and supportable solutions. Develops technical documentation, deployment plans, runbooks, monitoring, lifecycle artifacts, risk logs, and operational handoffs. Implements RAG, vector database, AI gateway, agentic workflow, and multimodal integration patterns while supporting cloud migration, change management, governance, and technical issue resolution.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Lead the design and operation of AWS and Kubernetes platforms, infrastructure automation, CI/CD, observability, security, and developer self-service capabilities. Drive cross-team platform initiatives, establish technical standards, improve reliability and operational practices, participate in incident response, mentor engineers, and guide architecture for regional and ephemeral environments.

Designs, develops, deploys, administers, and sustains MuleSoft Anypoint Platform and/or Informatica integrations in AWS GovCloud. Builds secure REST APIs and Mule applications, manages API gateways and lifecycle governance, implements authentication, monitoring, CI/CD, and data synchronization, and integrates Navy logistics and mission-partner systems. The role also performs testing, documentation, incident triage, performance tuning, RMF/STIG support, stakeholder coordination, and knowledge transfer.

Lead and develop an SRE team responsible for the reliability, availability, performance, automation, and observability of Linux-based digital commerce infrastructure. Set SRE and DevOps strategy, modernize Kubernetes and CI/CD practices, establish automation and infrastructure-as-code standards, oversee incident response, and drive SLIs, SLOs, and error budgets. Partner across engineering, architecture, infrastructure, security, networking, and product teams while recruiting, mentoring, and developing SRE talent.

Design, deploy, operate, and scale GPU/CPU infrastructure for classified data centers and AI clusters. Build automation for on-premise Kubernetes clusters and operating systems, manage databases, monitoring, distributed storage, and GPU-as-a-service platforms, and improve service reliability. Collaborate with AI engineers, lead lifecycle operations, mentor junior engineers, and guide technical excellence across the team.

Provides senior engineering support for enterprise infrastructure and ServiceNow-enabled platforms across hybrid cloud, compute, storage, networking, databases, and automation. Leads complex deployments, configuration, monitoring, troubleshooting, security remediation, architecture reviews, and technical workstreams. Uses Azure, PowerShell, Python, Terraform, SQL, and observability tools to improve reliability and scalability. Collaborates with cross-functional teams, supports compliance and change management, mentors engineers, contributes to strategic roadmaps, and participates in on-call support.

Architect, deploy, and operate highly available multi-cloud infrastructure across AWS and Azure. Manage Kubernetes, Linux systems, databases, caching platforms, CI/CD pipelines, infrastructure as code, observability, security, incident response, and performance optimization. The role also requires automation with Python and Bash, comprehensive documentation, client collaboration, and participation in a 24/7 on-call rotation.

Provides staff-level customer-facing technical support for complex multi-cloud networking and security issues. Serves as an escalation point, leading troubleshooting, packet analysis, root cause analysis, deployments, integrations, optimization, and upgrades. Collaborates with sales, solution engineering, and product engineering teams; identifies defects, validates fixes, and improves product quality. Develops technical documentation, runbooks, and troubleshooting guides while advising leadership on recurring customer issues.

Develop and maintain Linux kernel components and live-patching infrastructure for Rocky Linux. Responsibilities include kernel design, C programming, debugging memory management and process scheduling issues, device-driver and hardware integration, performance optimization, code review, documentation, and mentoring junior developers. The role requires deep Linux kernel internals expertise, familiarity with x86 and ARM architectures, Git workflows, and at least five years of kernel development experience.

Design, deploy, and maintain reliable production and corporate systems; manage configuration, security, and core infrastructure; participate in on-call incident response; build automation, CI/CD pipelines, and Infrastructure-as-Code; monitor systems and develop tools to improve reliability and availability.

Build and maintain Python-based automation, services, test infrastructure, and performance analysis tooling for a distributed database system. Collaborate with internal stakeholders, improve developer tooling and reproducible testing, analyze system performance, and create documentation and runbooks. The role requires strong software fundamentals, systems thinking, Linux and CI experience, and the ability to learn new languages and systems quickly.

Owns end-to-end enterprise application architecture for secure, scalable court-record systems. Responsibilities include designing microservices, REST APIs, micro-frontends, cloud and hybrid-cloud solutions, authentication frameworks, workflows, and integrations; leading architectural reviews, code reviews, DevSecOps and CI/CD initiatives; mentoring technical teams; evaluating technologies; and ensuring security, compliance, accessibility, and governance standards.

Lead the strategy, architecture, and operation of Chainguard’s database platform. Build production tooling and automated guardrails; improve replication, high availability, backups, disaster recovery, migrations, capacity planning, and global database resilience. Assess risks across existing systems, establish standards and governance, write production code, and lead cross-functional initiatives across engineering teams. The role requires deep PostgreSQL and MySQL expertise, cloud infrastructure experience, Linux and Go proficiency, and staff-level technical leadership.

Develop, integrate, and field autonomy software for expeditionary unmanned aircraft (V-BAT/X-BAT). Own features from software-in-the-loop to live flight tests, collaborate with aircraft and perception teams, lead technical integration, support field deployments and mission testing, and troubleshoot hardware/software issues.

Develop, integrate, and field autonomy capabilities for novel platforms (space, maritime, unmanned helicopters). Own end-to-end integration from software- and hardware-in-the-loop to live tests, partner with platform and cross-functional teams, support on-site testing, debug hardware/software issues, document designs, and improve integration and testing processes.

Develop, integrate, and field autonomy software for launched effects platforms, owning features from design through live flight testing. Drive technical execution, collaborate with autonomy, perception, and vendor teams, support system bring-up and field operations, and implement C2 interoperability and deployment processes. Travel to tests and customer exercises to support mission execution and debugging.

Lead technical strategy and engineering for autonomy on new platforms (space, maritime, contested logistics). Define architecture, guide development and integration, mentor senior engineers, support testing and deployments, resolve complex hardware/software integration issues, and transition R&D into operational programs.

Lead technical delivery and integration of autonomy software for V-BAT and X-BAT, defining flight-autonomy interfaces, integrating payloads and mission autonomy, coordinating cross-team engineering, ensuring mission readiness, supporting flight tests and deployments, mentoring engineers, and improving integration workflows and testing infrastructure.

Lead technical delivery and integration of autonomy software for launched effects, including autopilot integration, multi-agent coordination, and fleet-scale deployments. Collaborate with autonomy, perception, vendors, and customers; lead design, testing, debugging, mission support, documentation, and pre-deployment readiness for disconnected or air-gapped operational environments.