Top Remote Linux Jobs in Washington, DC

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

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.

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.

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.

Build and maintain NetBox Enterprise, an on-premises product suite. Responsibilities include architecting Kubernetes-based high-availability solutions, extending Kubernetes operators, developing lifecycle management tools, building CI/CD pipelines, managing releases, writing Rust and Python, supporting integration testing, documenting deployment practices, and resolving customer deployment and operational issues.

Lead a team of software engineers supporting critical retail-banking applications. Design and develop software solutions, provide technical guidance, review code and documentation, troubleshoot complex incidents, and apply SRE practices. Maintain on-call rotation for after-hours critical incidents. Use OpenShift, Hogan, Dynatrace, and Linux; collaborate on releases and modernize application delivery.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

Own the technical lifecycle and operational health of Runpod’s global high-density GPU fleet. Responsibilities include hardware validation and benchmarking, fleet monitoring, SLA and downtime auditing, network and systems troubleshooting, incident coordination, partner technical support, AI-assisted operational automation, and infrastructure tooling. The role requires Linux, Docker, NVIDIA GPU, datacenter networking, and performance-tuning expertise, with potential future on-call participation.

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.

Engineer II will administer and engineer virtualization environments (VMware and open-source), manage Linux systems, monitor and maintain production infrastructure, troubleshoot server hardware, automate deployments (IaaS, Chef), write automation scripts, participate in on-call rotations, and work with distributed teams across time zones. Familiarity with public cloud concepts and proven use of AI technologies to improve operations is expected.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

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

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

Technical lead for production database and storage systems: define and execute cloud DB/storage architecture and strategy focused on reliability, scalability, observability, and security. Support and operate large-scale self-managed and AWS-managed databases, lead incident response and RCA, run HA/DR drills, mentor engineers, participate in on-call rotation, and use AI code-generation tools to improve infrastructure delivery.

Maintains and improves large-scale production systems across bare-metal servers, virtual machines, and container platforms. Responsibilities include Linux administration, architecture recommendations, hardware troubleshooting, production deployments, scripting and automation, monitoring, CI/CD, configuration management, technical documentation, and on-call support. The role collaborates with distributed cross-functional teams, uses AI to improve workflows, and requires periodic business travel and government-related background and fingerprint checks.

Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.

Designs, develops, debugs, optimizes, and validates firmware and system software for high-performance IoT platforms across Linux, Android, and real-time operating systems. The role involves embedded programming, automated and unit testing, multi-core architecture debugging, architectural collaboration, cross-disciplinary feature development, and cloud-based validation at scale.

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.

Leads the design, automation, operation, and scaling of infrastructure across on-premises data centers, GCP, and AWS. Responsibilities include infrastructure as code, configuration management, networking, load balancing, DNS, monitoring, observability, distributed systems administration, documentation, technical direction, project leadership, and mentoring. The role requires deep Linux, hardware, networking, cloud, storage, backup, and Python automation expertise.

Design, deploy, automate, and support large-scale cloud network infrastructure across AWS, Azure, and GCP. Manage firewalls, Kubernetes networking, VPNs, DNS, BGP, monitoring, infrastructure as code, and network performance. Lead technical roadmaps, design reviews, troubleshooting, engineer onboarding, and team direction while participating in on-call support and occasional travel.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.