Top Entry Level Linux Jobs in Washington, DC

Develop and maintain Chromium-based browser and distributed systems components using C++, Rust, Go, and TypeScript. Own features through design, testing, rollout, and production support; debug browser, Linux, and service failures; improve reliability, latency, startup performance, and resource efficiency. Participate in code reviews, documentation, automated testing, collaboration, and on-call incident response.

Develop Python-based automated tests, validation tools, analysis utilities, and quality metrics for autonomous systems. Support testing across simulation, SIL, HIL, VIL, laboratory, and hardware environments. Analyze results, debug integration issues, improve regression and performance testing, integrate tests into CI/CD workflows, and collaborate with autonomy, systems engineering, flight test, and integration teams.

Develop Python-based automated testing, simulation analysis, log-processing, scenario-generation, and domain-randomization tools for the Hivemind Platform. Support test orchestration, distributed simulation, containerized environments, CI/CD, build troubleshooting, and technical documentation. Investigate failures using logs, telemetry, rosbags, network captures, and test results while collaborating with autonomy, systems, and platform engineers.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

Develop and maintain C++ and Python simulation adapters, plugins, interfaces, and reusable framework components. Support migration from HMSSimBlocks to HMSF, integrate simulation backends, maintain CIGI and DDS interfaces, troubleshoot autonomy integration issues, and create tests and documentation. Collaborate with senior engineers on code reviews, debugging, design discussions, and integration support across simulation and autonomy teams.

Develop and maintain C++ and Python simulation adapters, plugins, interfaces, and reusable components. Support migration from HMSSimBlocks to HMSF, integrate simulation backends, maintain CIGI and DDS communications, diagnose distributed-system issues, and create tests and documentation. Collaborate with simulation, autonomy, and integration teams on code reviews, debugging, and framework improvements.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Designs and operates cloud and internal infrastructure, identity and access management, SaaS platforms, and automation systems. The role improves reliability, security, compliance, and operational efficiency through IAM governance, infrastructure-as-code, CI/CD, vulnerability management, patching, system hardening, monitoring, and troubleshooting. It also partners with Security, HR, and Engineering on onboarding, integrations, and audit readiness.

Administer and support business-critical publishing applications and Linux infrastructure. Troubleshoot application, system, and production issues; manage access, deployments, upgrades, patching, and configurations; develop Perl automation scripts; maintain OmniMark publishing workflows; analyze logs and performance metrics; document procedures; collaborate with users, developers, and stakeholders; and participate in incident, change, problem, and on-call support.

Architects, maintains, upgrades, and optimizes Totara and Moodle learning management systems. The role analyzes configurations, implements scalable enhancements, automates deployments, troubleshoots issues, integrates infrastructure, and leads large-scale application upgrades with minimal disruption. Required expertise includes Linux, PHP, LMS architecture, and AWS-based deployments, with Ansible and containerization as preferred skills.

Develop and modify Android Framework components, system services, privileged APIs, and secure AI-agent integrations. The role focuses on application lifecycle, permissions, background execution, first-party app integration, OS stability, performance, and collaboration with agent engineers. Candidates need strong Android development experience, Java or Kotlin proficiency, AOSP knowledge, and familiarity with Binder IPC, permissions, and complex Android debugging. Custom ROM, C++, Linux, Android security, power management, and system-level shipping experience are preferred.

Own and improve a production Python/Django backend and infrastructure for a 3D AI platform. Responsibilities include developing backend features, administering Linux servers, managing PostgreSQL and its migration to Neon, maintaining background jobs and integrations, troubleshooting incidents, improving performance and security, and ensuring reliable monitoring, backups, testing, and deployments.

Provides L2 support for data center infrastructure, including servers, storage, networking, firewalls, load balancers, and virtualization systems. Responsibilities include infrastructure maintenance, proactive monitoring, troubleshooting, and optimization to maintain high availability, security, and operational efficiency across on-premises and cloud environments.

Administer enterprise data platforms and infrastructure, including Tableau Server, MOVEit, Linux, Windows Server, and AWS GovCloud environments. Manage configurations, access controls, provisioning, patching, monitoring, logging, troubleshooting, documentation, and operational sustainment. Collaborate with data engineers and analysts while supporting RMF- and NIST-aligned security and compliance activities in a remote Agile environment.

Administers and supports SAP portal systems, enterprise web applications, databases, integrations, and cloud environments for federal clients. Responsibilities include Control-M job scheduling, system monitoring, performance tuning, security and SSO integration, database administration, troubleshooting, change management, and production support across Windows and Linux. The role also develops and maintains web applications using Java and related technologies, supports SAP platforms and tools, collaborates with stakeholders, and participates in on-call and maintenance rotations.

Build and maintain CI/CD pipelines, containerized applications, and cloud infrastructure. Automate provisioning and deployments, monitor system health and performance, troubleshoot infrastructure issues, and improve platform reliability. Implement security controls, access management, observability, and infrastructure-as-code practices while supporting scalable distributed systems and developer infrastructure.

Build and maintain backend services, REST APIs, cloud workspace provisioning systems, and resource orchestration infrastructure. Improve performance, reliability, scalability, and security while developing integrations, SDKs, and developer tools. Contribute to architecture and ship features from concept to production. The role requires strong TypeScript, JavaScript, and Node.js skills, backend and database knowledge, and familiarity with Docker, Linux, and cloud infrastructure.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.

Develop and maintain high-reliability, high-throughput backend systems for managing security certificates and configurations. Responsibilities include designing scalable systems, building features, optimizing performance, working with relational and NoSQL databases, and collaborating with testing and SQA teams on deployments. The role requires project-based experience with Java, Spring, Spring Boot, Angular, Terraform, SQL, Linux/Unix, and database technologies.

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Designs, implements, and manages secure, scalable cloud solutions primarily on GCP, including Gemini Enterprise and Vertex AI capabilities. Develops proofs of concept, deploys infrastructure using IaC, configures networking and security, troubleshoots platform issues, and supports AWS and Linux environments. Collaborates with engineering and cybersecurity teams, documents architectures, and provides effective user and operational support.

Lead the architecture, deployment, configuration, hardening, and operation of Splunk ITSI in a government environment. Ingest and normalize security, application, and infrastructure telemetry; develop service health models, KPIs, dashboards, and event aggregation policies; troubleshoot Splunk data and alerts; and align monitoring with cybersecurity and vulnerability priorities. The role also requires documentation, training, knowledge transfer, secure configuration, operational validation, and coordination with government stakeholders.

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.