Top Linux Jobs in Washington, DC

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

Designs, engineers, deploys, commissions, and supports ROADM-based DWDM and OTN optical transport networks supporting 100G/400G services and IP/MPLS core connectivity. Responsibilities include optical link engineering, capacity planning, equipment specifications, vendor evaluation, automation, fault isolation, service provisioning, network turn-up, documentation, and technical mentorship. The role coordinates with architecture, operations, vendors, and fiber providers; participates in on-call support and travels to project sites as required.

Develop and improve embedded graphics and compute drivers, customize products for embedded hardware and real-time operating systems, and profile and optimize drivers and applications. Write and review technical specifications while collaborating on reliable, high-quality safety-critical solutions. The role requires embedded software development, debugging, troubleshooting, and familiarity with graphics APIs, ARINC 653, and safety-critical development practices.

Manage and optimize high-bandwidth, low-latency VFX network infrastructure supporting render farms, storage, cloud rendering, artist collaboration, and remote workstations. Configure AWS Deadline Cloud, troubleshoot Maya and Arnold rendering, build asset-transfer and per-show environment systems, optimize Linux and Windows pipelines, and document architecture and procedures. The role requires strong Python and Bash scripting, networking, storage, systems administration, render-farm, and VFX pipeline expertise.

Lead enterprise solution architecture and modernization of legacy IBM mainframe financial applications. Analyze current-state systems, design cloud-enabled future-state architectures, map business processes, and guide migrations involving COBOL, JCL, CICS, DB2, and VSAM. Provide technical leadership across integration, data migration, interoperability, documentation, testing, and deployment. Collaborate with financial agencies and development teams to implement modern solutions using Java, Spring Boot, APIs, microservices, databases, cloud platforms, and DevSecOps practices.

Own and modernize production infrastructure across DigitalOcean, AWS, Cloudflare, and Linux environments. Responsibilities include database migrations to managed services, managed application runtimes, Cloudflare security and delivery, infrastructure inventory, monitoring, backups, disaster recovery, incident response, runbooks, automation, infrastructure as code, and CI/CD. The role requires hands-on production troubleshooting, documentation, AI-assisted operations, risk management, and real on-call availability.

As a Datacenter System Software Architect at SiFive, you'll design RISC-V Linux systems for datacenters, engage with customers, and optimize performance across software and hardware.

Provide Tier III database administration and O&M support for enterprise applications: monitor and tune SQL Server/MySQL, resolve critical incidents, maintain environments, manage backups/recovery, update documentation, support SDLC/Agile processes, and coordinate security and operational tasks.

Develop, integrate, and test path-planning and autonomy software for aerial platforms (Group 1-5). Implement sampling- and grid-based planners, outer-loop control, and integrate GNC algorithms onto OEM hardware. Collaborate with cross-functional teams and DoD partners; support testing on real systems and simulations.

Develop, operate, and maintain enterprise applications supporting IMS business areas. Design and implement RESTful services and SOA using Java and Spring Boot, work with cloud (AWS/C2S), relational databases, Linux environments, IDEs, and collaborate across teams to integrate records management and evolving architecture requirements.

The Big Data Systems Engineer will deploy and integrate the CHEETAS project across various DoD Ranges, troubleshooting and resolving deployment issues in collaboration with system administrators and software developers, while ensuring effective communication with stakeholders.

Operate and own components of the infrastructure stack (CI/CD, cloud/IaC, app platform, networking, observability, security). Build and maintain IaC (Terraform, Helm), automate toil, carry on-call and resolve incidents, run post-incident reviews, implement security/compliance controls with partners, and produce runbooks and design documentation. Collaborate across infra, product, and operations.

Senior individual contributor owning design, implementation, and operation of infrastructure systems. Drive technical direction, write RFCs, lead on-call escalations and post-incident reviews, mentor engineers, eliminate systemic toil, and partner with security, compliance, product, and ops to deliver scalable, deployable ground-station infrastructure.

Provision and deploy network devices, servers, and infrastructure for global POPs using automation (Ansible, Chef, Git). Troubleshoot provisioning issues, collaborate with hardware and operations teams, improve standards and tooling, and support post-deployment validation and handoff to Network Operations.

Zencore seeks a Senior Cloud Engineer to assist clients with Google Cloud transitions, focusing on application modernization and infrastructure as code.

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

Build and maintain end-to-end web applications: design, code, test, debug, and deploy backend APIs and front-end components. Improve legacy systems, create reusable libraries, and support operations and clients while collaborating with product and customers.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

The Web3 / Full-stack Software Engineer will design, develop, and deploy software solutions for staking products, collaborating with engineers and UX designers to enhance UI and ensure security of blockchain networks.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Designs and implements cloud architecture and automation across enclaves, migrates on-prem applications to cloud, applies DevSecOps, ensures security/availability, optimizes cost/performance, develops cloud applications, and leads troubleshooting and documentation efforts.

Design and implement cloud architecture across multiple enclaves, lead migrations to cloud, implement DevSecOps automation and IaC, ensure security, availability, cost optimization, monitoring/alerting, debugging cloud stacks, and produce documentation. Work independently on large-scale data analysis projects and cloud application development using PaaS/IaaS/SaaS/DaaS patterns.

Manage AWS cloud infrastructure, CI/CD pipelines, Terraform-based infrastructure, containers, monitoring, and operational automation. Administer Microsoft 365, Entra ID, Intune, Windows, and macOS devices. Support onboarding, offboarding, remote technical issues, identity and access management, IT assets, documentation, security standards, and incident troubleshooting while collaborating with engineering, security, operations, and vendors.