Top Remote Linux Jobs in Washington, DC

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

As a Senior 3D Software Engineer, you will develop advanced 3D algorithms while collaborating with cross-functional teams in an agile environment.

Operate and lead data-center LAN infrastructure in a 24/7 SaaS environment. Own troubleshooting, incident response, and change management across Cisco Nexus, Palo Alto, and F5 platforms. Drive projects, architecture (VXLAN/EVPN), automation (Ansible, Terraform, Python), observability (Prometheus, Grafana, SolarWinds), and cloud networking (AWS, GCP). Mentor junior engineers, participate in on-call rotation, and define operational standards, reliability metrics (SLI/SLO), and preventive engineering.

The Backend Engineer will improve reliability and scalability of services, develop new services, and analyze operational efficiencies while collaborating closely with the engineering team.

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.

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.

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.

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.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.

Design, provision, and operate AWS infrastructure for AI/HPC workloads across environments. Build and maintain IaC, CI/CD, observability, and scaling patterns. Troubleshoot networking, compute, storage, participate in incident response, document architecture and runbooks, and optimize cost and reliability.

Join Canonical's Kernel Team as a Junior Linux Kernel Engineer to work on Linux kernel development for Ubuntu, collaborating on projects ranging from security hardening to driver integration.

Own and architect Linux kernel-space enforcement for an identity security platform using eBPF and BPF LSM hooks. Build kernel and userspace enforcement boundary, optimize syscall hot paths, extend enforcement to containers and Kubernetes, ensure portability across kernel versions, collaborate on shared policy/backend, mentor engineers, and drive production-grade, low-latency security enforcement.