Top Entry Level Linux Jobs in Washington, DC

Operate and scale Kong’s global multi-region SaaS platform across AWS, GCP, and Azure. Build Kubernetes infrastructure, Terraform-based automation, Helm and ArgoCD deployment workflows, CI/CD pipelines, observability systems, and highly available data layers. Improve Kong Gateway and Mesh environments, reliability, scalability, security, disaster recovery, and cost efficiency. Participate in 24/7 on-call, incident response, SLO tracking, postmortems, and operational improvement initiatives.

Maintain and improve build and release processes across mobile, console, and PC platforms. Develop automation tools, support continuous integration, manage branches and environments, coordinate releases with Production and Live-Ops teams, enable automated testing, and document build pipelines. The role requires Perforce, scripting, build systems, CI, C++, and strong collaboration skills.

Deploys and maintains UDS and Kubernetes platforms in secure bare-metal environments. Responsibilities include configuring GPU compute, storage, and networking; managing infrastructure as code; supporting secure software delivery; troubleshooting platform services; and collaborating with mission stakeholders and engineering teams. The role is remote in the United States and requires U.S. citizenship, with 15–25% travel.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Develop, test, and deploy infrastructure-management software across Linux and Windows environments. Design infrastructure services architecture, automation modules, deployment orchestration, containerized application deployments, and CI/CD test frameworks. Configure application servers, load balancers, proxies, networks, and VPCs. Troubleshoot production and container issues, support operations teams, coach engineers, establish configuration-management standards, and participate in code and design reviews.

Deploy, operate, and troubleshoot large-scale OpenWRT wireless infrastructure and FreeRADIUS authentication systems. Manage PPSK/DPSK authentication, VLAN assignment, hostapd, MikroTik networking, roaming, DHCP, and client connectivity. Develop integrations, firmware automation, monitoring, and telemetry tools using Python, Bash, Go, and Lua. Analyze packet captures and wireless performance, support AP provisioning, and contribute to wireless architecture and scaling.

Develop high-quality, resilient software across Ubuntu and the open source stack, from Linux systems and firmware to cloud, containers, and desktop applications. Contribute to product roadmaps, user experience, code reviews, issue resolution, security, and enterprise requirements. Collaborate remotely with global engineering teams and the open source community, while building expertise in programming languages and Linux systems. Attend international company sprints twice yearly.

Design, build, and document CI/CD pipelines with GitHub Actions; provision infrastructure with CloudFormation and Terraform; manage AWS services (ECS, S3, Lambda, RDS); support Docker containers and Linux systems; and help define data science tooling (SageMaker, DataZone, Athena) while collaborating in an Agile team.

Develop, test, and release improvements to Ubuntu on public clouds, ensuring quality and stability, while collaborating with a global team.

Develop and maintain backend features for Cribl Edge data collection agents running across Windows, Linux, and macOS. Design scalable, reliable software for hundreds of thousands of nodes, collaborate with product and UX teams, write automated tests, troubleshoot production issues, and support SaaS products through on-call rotations. The role requires TypeScript and Node.js development, cloud and container experience, operating-system knowledge, and experience with data-intensive applications or stream processing.

Design, develop, operate, and improve Netflix’s internet-scale managed compute infrastructure. The role involves building distributed systems and Kubernetes-based services, balancing customer usability with reliability, scalability, and cost efficiency. Responsibilities include collaborating with Product and stakeholders, leading cross-functional infrastructure initiatives, mentoring engineers, maintaining operational excellence, improving incident response and on-call practices, and evaluating emerging cloud and compute technologies.

The Deployed Engineer will build demos and POCs, support customer questions, manage technical relationships, update documentation, and collaborate with engineering to drive customer success.

The Public Cloud Solution Architect will work with Canonical's partners to drive cloud initiatives, integrating Ubuntu and ensuring alignment on product strategies while creating promotional materials and advocating for cloud adoption.

Manage and maintain Linux and Windows servers, write scripts in PowerShell, Python, and shell, deploy and support cloud infrastructure, install and configure enterprise monitoring tools (Dynatrace, ScienceLogic, Splunk), configure alerting from logs, and build dashboards and visualizations for operations and executive views.

Execute hardware bring-up, validation, and telemetry monitoring for Cerebras AI clusters in data centers. Perform power-on sequencing, first-line troubleshooting, log collection, incident support under senior guidance, and contribute feedback to tooling and documentation while learning system architecture and networking fundamentals.

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.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.