Top Linux Jobs in Washington, DC

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.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Develop and maintain enterprise automation solutions using Ansible, Python, Bash, and PowerShell. Build RESTful APIs, Infrastructure as Code, CI/CD pipelines, and automated testing frameworks across Linux, Windows, and cloud platforms. Manage the full automation software lifecycle, integrate enterprise systems, support production environments, document solutions, and collaborate with infrastructure, security, and service teams in Agile environments.

Owns VM and fleet test strategy, performance quality gates, and hypervisor validation for an IaaS platform. Designs reproducible bare-metal-like test environments, develops automated performance benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses and analysis pipelines in Go, Python, and Perl. The role requires deep expertise in virtualization, Linux systems, performance engineering, statistical analysis, and cross-architecture debugging.

Operate and maintain a disconnected C3 AI Platform deployment at a secure government facility. Responsibilities include monitoring system health, responding to incidents, troubleshooting Linux and Kubernetes environments, performing offline upgrades and patches, automating operations, creating runbooks, supporting customer applications, and translating customer needs into technical enhancements. The role requires customer-facing communication, on-site work, U.S. citizenship, and an active Secret clearance.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Designs and manages cloud infrastructure across development, staging, and production using Terraform and AWS. Builds containerized environments with Docker, ECS, and Kubernetes; develops CI/CD pipelines; manages networking, routing, APIs, WAF, monitoring, and autoscaling. Troubleshoots infrastructure and deployment issues, optimizes performance and reliability, and collaborates with development and QA teams. The role also supports cloud-agnostic architecture, observability, Linux administration, and automation scripting.

Design, develop, and scale mission-critical backend applications and distributed services. Build Python and Celery services, FastMCP services, Docker Swarm environments, and horizontally scalable architectures. Optimize Couchbase and NoSQL data systems, troubleshoot Linux-based distributed environments, and apply cloud-native AWS practices. Collaborate cross-functionally to deliver secure, reliable solutions while using spec-driven development and AI coding tools.

Leads hands-on Appian application development across design, coding, testing, deployment, maintenance, production support, and incident triage. Serves as the senior developer on an Agile team, coordinating with product owners, business analysts, UX, and QA. Produces architecture and technical documentation, guides integrations and security modeling, oversees development tasks, performs peer reviews, and supports compliance, risk management, and continuous Appian platform improvement.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Installs, upgrades, supports, and troubleshoots HealthEdge applications across private cloud, AWS, and customer-hosted environments. Uses deployment, automation, alerting, cloud, container, database, middleware, and scripting technologies to manage SaaS environments. Collaborates with teams, documents solutions, improves processes, supports production upgrades, and communicates with project teams and senior management. Occasional off-hours work may be required.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Designs and manages DevOps processes, automation, CI/CD pipelines, cloud environments, containerized infrastructure, observability, and release systems. Partners with development, QA, DataOps, architecture, support, and operations teams to improve reliability, security, scalability, and performance. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, root-cause analysis, technical documentation, tool evaluation, production support, and continuous improvement.

Design, configure, and maintain cloud infrastructure across Azure and AWS. Own IaC (Terraform, Ansible, PowerShell) and CI/CD pipelines, integrate source control and automated testing/security, implement governance and hybrid cloud solutions, deploy generative AI services, monitor performance, support disaster recovery, and collaborate with cross-functional teams to ensure secure, scalable, and compliant cloud platforms.

Build and own scalable full-stack cloud-native services and web frontends on AWS for healthcare imaging workflows. Shape architecture and technical direction, implement automated testing, CI/CD, observability, and security, and ensure compliance with HL7, DICOM, and regulatory requirements. Collaborate with Product, UX, and Clinical teams while mentoring developers and supporting reliable production software.

Designs, develops, tests, deploys, monitors, and operates large-scale distributed cloud services for Azure Arc. Builds software across agents, Kubernetes environments, and globally distributed Azure services using languages such as C# and Go. Responsibilities include automation, debugging, performance optimization, reliability improvements, telemetry, live-site operations, and cross-team collaboration. The role requires participation across the full software development lifecycle and ownership of features from design through production support.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Administer and optimize production, staging, and development databases across SQL and NoSQL platforms. Responsibilities include database installation, configuration, architecture, performance monitoring, security, backups, disaster recovery, high availability, failover, capacity planning, troubleshooting, and data recovery. The role supports ETL pipelines and reporting, collaborates with developers and data modelers, provides technical mentorship, and manages database infrastructure in Linux and AWS environments for EPA applications.

Leads and mentors a distributed Agile software team while remaining hands-on in architecture, Java and Spring Boot development, Angular applications, REST APIs, AWS infrastructure, containerization, CI/CD, databases, observability, security, and production troubleshooting. Translates customer requirements into technical solutions, drives engineering best practices, supports capacity planning and performance feedback, and oversees scalable, resilient enterprise applications using AWS, Docker, Terraform/OpenTofu, and modern software development practices.

Design and maintain C++ and Python software for complex cross-platform systems. Develop APIs, messaging interfaces, CI/CD workflows, and automated tests while integrating distributed real-time systems, simulation tools, and third-party hardware and software. Debug system-level issues involving threading, timing, and data flow, contribute to architecture, and collaborate across teams. The role requires active Secret clearance and supports potential progression to TS/SCI clearance.