Top Senior Linux Jobs in Washington, DC

Own the networking architecture and roadmap for AKS Flex and Unbounded, enabling secure, reliable, high-performance Kubernetes connectivity across sites, clouds, edge environments, and on-premises infrastructure. Design overlay and underlay networks, routing, encrypted tunnels, eBPF dataplanes, and distributed systems for high-latency and partitioned environments. Integrate InfiniBand and RDMA for AI workloads, lead cross-team architecture efforts, improve global fleet performance and reliability, and participate in production operations and on-call rotations.

Designs, operates, and improves secure multi-account AWS infrastructure, Infrastructure as Code, CI/CD pipelines, containerized workloads, monitoring, observability, and cloud security controls. Troubleshoots issues across the software delivery and runtime stack, documents operational standards, mentors engineers, and supports technical readiness reviews. The role also contributes to automation, reliability, and potentially generative AI infrastructure and developer workflows.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Develops and maintains enterprise infrastructure automations using Ansible, ARIA, Python, Bash, and PowerShell. Builds RESTful APIs, Infrastructure as Code solutions, CI/CD pipelines, integration workflows, and automated testing frameworks. Supports the full automation development lifecycle, troubleshoots production issues, documents solutions, and collaborates with infrastructure, security, and service teams in Agile environments. Requires advanced infrastructure automation experience, Linux and Windows administration expertise, secure coding knowledge, and Public Trust eligibility.

Administer, architect, build, secure, and maintain resilient AWS cloud infrastructure, applications, containers, and Linux systems. Automate infrastructure with Terraform and Ansible, support DevOps deployments and patching, and integrate AI-driven automation and AIOps tools. Provide technical guidance, mentorship, and support to cloud engineers while improving operational efficiency and security.

Designs and maintains CI/CD pipelines, infrastructure automation, deployment processes, monitoring, and operational tooling for Java-based enterprise applications. Integrates automated testing, security scanning, vulnerability management, containerization, and secure credential practices. Collaborates with development, cybersecurity, database, QA, systems administration, and customer teams to deliver reliable releases and support compliance, hardening, patching, and continuous monitoring in a controlled environment.

Design, build, test, and deliver software for managing virtual machines alongside Kubernetes workloads in secure, disconnected environments. Develop Kubernetes tooling, APIs, VM image workflows, management capabilities, and integrations for networking, storage, observability, and security. Debug complex distributed systems, improve reliability and performance, make architectural decisions, review code, mentor engineers, and collaborate with product, UX, and mission stakeholders.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Provides database administration and engineering for production systems, including replication, query optimization, backups, disaster recovery, performance tuning, capacity planning, security, and reliability. Establishes database standards, collaborates with application and infrastructure teams, monitors system performance, reviews technical designs, and supports scalable SaaS database environments across MySQL/Linux and SQL Server/Windows.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Design, operate, and improve Recharge’s cloud-native infrastructure platform. Responsibilities include Kubernetes and GCP infrastructure management, troubleshooting production issues, maintaining observability and reliability, implementing new technologies, improving engineering standards and documentation, supporting security and automation, and participating in a 24/7 on-call rotation. The role also involves mentoring engineers and applying AI tools to improve team productivity.

Administer and harden production Linux systems, troubleshoot complex infrastructure and service issues, manage operating system lifecycles, and develop automation using Bash, Python, and Ansible. The role includes configuration management, security updates, monitoring, backups, recovery testing, incident ownership, documentation, controlled changes, and shared on-call support across physical and virtualized environments.

Manage and optimize large-scale Oracle E-Business Suite R12.2 and Oracle database environments across on-premises and cloud infrastructure. Responsibilities include installation, cloning, patching, upgrades, monitoring, performance tuning, backup and recovery, disaster recovery, cloud migration, security compliance, and capacity planning. The role supports Oracle RAC, ASM, RMAN, Data Guard, OCI, Exadata, and DoD environments while collaborating with government stakeholders and engineering teams. It also includes mentoring junior DBAs and maintaining technical documentation.

Develop and maintain backend and frontend services for a SaaS cyber-physical systems platform using Python, Go, React, and cloud-native technologies. Investigate production incidents, replicate customer issues in staging, perform root cause analysis, and deliver feature enhancements. Ensure compliance with FedRAMP, CMMC, and GovCloud requirements while collaborating with distributed engineering teams across the US and Israel.

Build and operate Linux and Kubernetes infrastructure for Azure Front Door’s globally distributed edge fleet. Design, implement, validate, and deploy platform capabilities; optimize performance, reliability, scalability, security, and operations; investigate production issues; develop automation and engineering tools; and provide technical guidance through reviews and knowledge sharing.

Develop and maintain Intelerad’s Unified Storage Layer and cloud storage services for medical imaging applications. Responsibilities include designing software features, translating support and stakeholder requirements into solutions, debugging cloud infrastructure, managing Kubernetes, Terraform, AWS, and CI/CD environments, reviewing code, documenting systems, and delivering work within an Agile/Scrum team.

Administer and optimize enterprise Windows and Linux infrastructure, virtualization, cloud platforms, networks, storage, security, endpoints, identity systems, and disaster recovery. Monitor performance, resolve infrastructure issues, maintain compliance controls, document systems, support technical escalations, and lead upgrades, migrations, and deployments. The role requires independent management of complex environments and strong communication with technical and non-technical stakeholders.

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.

Administer and optimize Oracle databases across AWS RDS GovCloud and on-premises environments. Responsibilities include upgrades, patching, backup and recovery, performance monitoring, SQL and PL/SQL troubleshooting, database security, Linux and Windows administration, RMF and DISA STIG compliance, audit evidence, vulnerability remediation, release support, and technical documentation. The role requires customer communication, independent problem-solving, and occasional after-hours support and travel.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in web crawling, distributed processing, GCP, Terraform, and audio or ML training data.

Build large-scale data pipelines and processing systems that produce high-quality audio datasets for AI model training. Discover data sources, optimize throughput, quality, and cost, operate production systems, and collaborate with AI scientists on next-generation models. The role requires strong backend software engineering, independent problem-solving, and ownership of projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale data pipelines for AI training datasets, including discovering audio sources, processing data efficiently, optimizing quality and cost, and collaborating with AI scientists. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving in ambiguous environments.

Build and operate large-scale data pipelines that collect audio data for AI training. Responsibilities include discovering data sources, optimizing data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.