Top Entry Level Linux Jobs in Washington, DC

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 automated tests, validation tools, regression and performance testing workflows for autonomy software. Support SIL, HIL, VIL, simulation, laboratory, and hardware testing; analyze results, debug integration issues, create quality metrics and readiness reports, and integrate testing into CI/CD pipelines. Collaborate with autonomy, systems, flight-test, and integration teams working with robotic platforms, sensors, flight controllers, networking equipment, and mission computers.

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 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.

Design, deploy, operate, and optimize large-scale distributed infrastructure across Kubernetes, cloud, networking, storage, and AI/ML environments. Automate workflows, build monitoring and observability solutions, troubleshoot complex system issues, support model-training infrastructure, and participate in on-call rotations and postmortems to improve reliability.

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.

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.

Design, operate, and support reliable customer platforms across Linux, Kubernetes, and public cloud environments. Responsibilities include OS lifecycle management, infrastructure automation, IaC, configuration management, GitOps, observability, SLOs, capacity planning, incident response, and on-call support. The role requires depth in one data platform area—Elasticsearch/OpenSearch, Redis, or Kafka-Hadoop-Spark—and willingness to learn others. It also involves customer consultation, platform architecture guidance, documentation, knowledge sharing, and reducing operational toil through scripting and automation.

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.

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.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Deploys, maintains, and troubleshoots Comet across Kubernetes and cloud environments for customers. Leads infrastructure deployments, resolves complex issues involving networking, databases, and application configuration, and improves Helm charts, Terraform, automation, tooling, and documentation. The role requires strong customer-facing communication, production troubleshooting, cloud infrastructure expertise, and the ability to collaborate across engineering, support, and customer success teams.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Leads Tier 3 administration and recovery of on-premises, virtual, and cloud server environments. Responsibilities include Windows and Linux systems, VMware, AWS services, storage, backup and disaster recovery, databases, identity services, patching, monitoring, hardware support, vendor escalations, documentation, and after-hours critical-incident response. The role is onsite in Washington, D.C., supports 24x7x365 escalation requirements, and requires participation in a government background investigation.

Supports autonomous robot deployments in hospital environments through site readiness, configuration, mapping, testing, troubleshooting, and go-live support. Investigates issues across robots, Linux systems, networks, cloud services, databases, and integrations using logs and telemetry. Works with customers and cross-functional teams, contributes to documentation and playbooks, supports escalations, and improves deployment and support processes. The role requires 20–40% travel and offers broad early-career exposure to robotics, healthcare technology, and field operations.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Develop and improve SingleStore database engine software, including query execution, optimization, storage, indexing, transactions, and distributed-system components. Write production code, tests, documentation, and technical designs while investigating performance, scalability, and correctness issues. Collaborate with experienced engineers, product managers, and cross-functional teams through regular release cycles.

Develop and operate production-quality cloud software for managing customer workspaces and databases. Responsibilities include building backend services, APIs, automation, provisioning, scaling, upgrades, backups, recovery, observability, and reliability improvements. The role involves writing code, tests, documentation, and technical designs; investigating performance and scalability issues; and collaborating with engineering, product, and cross-functional teams.