Top Remote Linux Jobs in Washington, DC

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

Develop and execute UVM/SystemVerilog-based verification for AR display integrated circuits. Build assertion-based testbenches, create and run verification plans with functional and code coverage, use Siemens Questa for simulation and debug, and automate verification flows while collaborating with digital, analog, software, and verification teams.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Lead and mentor a DevOps team to design, implement, and maintain CI/CD pipelines, cloud infrastructure, IaC, container orchestration, monitoring, security controls, disaster recovery, and on-call support to ensure scalable, reliable, and secure systems.

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.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

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 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).

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.

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.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

Operate at Staff-level to diagnose and resolve complex customer issues, contribute production-quality code to GitLab, drive AI adoption (Duo Agent Platform), and translate field learnings into durable product improvements, guidance, and thought leadership while coordinating cross-functional teams.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.