Top Linux Jobs in Washington, DC

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

Design and sell cloud object-storage solutions using S3-compatible platforms. Partner with customers and channel partners through the sales cycle, troubleshoot storage, networking, and integration issues, create technical documentation and best practices, and collaborate with Sales, Product, Engineering, and Support to improve customer experience.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Maintain and optimize SaaS production and demo environments, respond to and resolve incidents, manage Jira-based incident workflows, use Dynatrace and observability tools for troubleshooting, automate operational tasks, enforce security best practices, document runbooks in Confluence, participate in on-call rotation, and collaborate cross-team to improve reliability and performance.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Lead and mentor a DevOps team to design, implement, and maintain CI/CD pipelines, cloud infrastructure, IaC, container orchestration, monitoring, security controls, disaster recovery, and on-call support to ensure scalable, reliable, and secure systems.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

Manage, maintain, and improve secure government cloud, hybrid, and multi-cloud infrastructure (Azure Gov/Azure GCC High, AWS GovCloud, GCP). Provide 24x7 operational support, incident/change management, advanced troubleshooting, compliance with FedRAMP/NIST/DISA/CIS standards, automation/IaC development, capacity and performance management, and technical guidance to improve architecture, security, and service delivery.

Operate and monitor MongoDB Atlas infrastructure, troubleshoot production incidents, automate monitoring and remediation, collaborate globally to reduce MTTR, participate in on-call rotations and second-shift weekend schedules, and support FedRAMP government environments.

Support U.S. government customers running GitLab in highly secure, constrained environments. Troubleshoot deeply using Linux, GitLab internals, logs, and CI/CD, reproduce and fix edge-case defects, contribute documentation and internal tools, participate in on-call rotations, and collaborate with Product and Engineering to deliver durable solutions for FedRAMP, air-gapped, and classified deployments.

Serves as the primary engineering contact for strategic Azure customers, resolving critical and complex cloud incidents, troubleshooting enterprise applications and infrastructure, conducting root-cause analysis, and providing proactive architecture and deployment guidance. Partners with support, engineering, product, and customer success teams to mitigate incidents, drive corrective actions, communicate with customers, and relay product feedback to Azure engineering groups.

Maintain, enhance, and support enterprise applications on IBM i (AS/400) using RPGLE. Lead modernization efforts (VS Code, Code for IBM i, Git/GitHub), develop database solutions (MS-Access, OpenEdge Progress), build Visual Basic integrations, perform Linux system administration, troubleshoot issues, gather requirements from business users, and document technical specifications.

The Senior Network Engineer will manage and enhance the network and audio/visual infrastructure, ensuring efficient operations and excellent customer support while troubleshooting and administering various network components.

Lead design, implementation, and security of AWS cloud infrastructure and CI/CD automation. Drive cost optimization, observability, and IaC standards (Terraform/CDK). Mentor engineers, participate in on-call rotations, and collaborate with product and science teams to build scalable, reliable cloud-native systems.

The role involves programming in Unix and Linux with a focus on cloud technologies such as AWS or Azure, requiring strong coding skills and experience in automation and testing.

Design, build, and maintain full-stack web applications and backend systems. Lead API/GraphQL development, implement CI/CD and automated tests, perform code reviews, collaborate with UX/product, train users, and translate requirements into scalable, secure software using React, Node.js, PHP and MySQL.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Operate at Staff-level to diagnose and resolve complex customer issues, contribute production-quality code to GitLab, drive AI adoption (Duo Agent Platform), and translate field learnings into durable product improvements, guidance, and thought leadership while coordinating cross-functional teams.

Leads DevSecOps and application sustainment for DOL enterprise applications, managing CI/CD pipelines, secure SDLC practices, releases, production operations, vulnerability remediation, automated testing, Tier 3 escalations, root cause analysis, and moderate enhancements across AWS-hosted environments.

Design, implement, and maintain secure, scalable Google Cloud infrastructure in a high-security federal environment. Responsibilities include infrastructure-as-code automation, CI/CD pipeline management, cloud networking and security, monitoring, troubleshooting, compliance with FedRAMP and NIST standards, and collaboration with engineering, security, and government stakeholders. The role also requires documentation, knowledge sharing, and support for cloud optimization and deployment workflows.