Top DevOps Engineer Jobs

Lead DevOps efforts to sustain and operate mission-critical government systems: build Infrastructure as Code, automate CI/CD, manage AWS cloud and container platforms (Kubernetes, Docker), harden and maintain RHEL compliance, troubleshoot infrastructure, and work onsite in a SCIF supporting secure, highly available microservice platforms.

The DevOps Engineer will implement CI/CD pipelines, manage cloud infrastructure, automate deployments, and troubleshoot environments. Collaboration and communication skills are essential.

The Lead DevOps Engineer will architect and deploy cloud infrastructure, automate workflows, mentor teams, and communicate technical concepts to clients and stakeholders.

The DevOps Engineer will maintain secure data flows between Kafka, PostgreSQL, and S3, enhance observability tools, coordinate user access, and collaborate on CI/CD processes.

Set up, configure, test, and maintain application, database, network, and hardware infrastructure. Automate deployment and server configuration processes, improve system resilience, monitor performance, troubleshoot issues, and perform necessary off-hours deployments. The role requires expertise in Linux, PHP, MySQL, networking, security, backups, performance tuning, scripting, and infrastructure automation, with containerization and CI tools preferred.

Develops and maintains DevOps infrastructure, CI/CD pipelines, containerized deployments, and automated software delivery across development, test, and production environments. Uses GitLab CI, Kubernetes, Helm, Docker or Podman, and Ansible to provision, configure, deploy, monitor, and troubleshoot applications. Collaborates with Agile teams, manages configuration-controlled environments, identifies technical risks, and supports secure software delivery in a DoD environment.

Develop and maintain software systems for the national intelligence community, lead software projects, integrate solutions, and enhance processes.

On-site DevOps Engineer supporting research teams with systems engineering and administration. Build, run, and manage containerized applications (Docker, Compose), troubleshoot containers, apply orchestration concepts (Swarm, Kubernetes), write Python scripts, use Git, schedule cron jobs, integrate enterprise auth, and perform backend SQL/database work. Requires TS/SCI with polygraph and extensive experience.

Design blockchain architecture and modular node components, develop blockchain and DeFi protocols, operate servers and blockchain nodes at scale, and modify node software. The role requires proficiency in two specified programming languages, experience with cloud infrastructure and blockchain systems, meaningful open-source contributions, strong self-direction, and availability to work Pacific Time hours.

Design, build, and scale Moveworks AI cloud infrastructure and developer platform across regions. Implement CI/CD, infrastructure as code, Kubernetes/Istio deployments, ensure security, reliability, observability, and cost optimization while partnering with platform, ML, data, and security teams.

Build and operate GCP and on-premises infrastructure supporting high-throughput crawling, search, queues, databases, and ML workloads. Manage Kubernetes clusters, CI/CD, infrastructure as code, observability, enterprise security controls, reliability targets, cost optimization, and incident response. Partner with product and search engineering teams to productionize services and own infrastructure from design through operation.

Design and deploy secure AWS cloud infrastructure using Terraform, Ansible, and CloudFormation. Build CI/CD pipelines with Jenkins and GitLab, automate deployments, support Kubernetes and Docker workloads, and troubleshoot AWS services including EC2, EKS, S3, RDS, and Bedrock. Implement IAM, encryption, network security, SELinux, kernel hardening, and compliance controls aligned with DISA STIGs, NIST 800-53, and FedRAMP. Collaborate with development and security teams while maintaining technical documentation.

Designs and automates software delivery pipelines from requirements through production. Builds cloud-native solutions, develops Terraform infrastructure and shell automation, implements CI/CD, and troubleshoots pipeline failures. The role supports automated builds, regression testing, monitoring, releases, and DevSecOps maturity across cloud environments while collaborating with Agile software teams. A Secret clearance or eligibility is required, along with five or more years of relevant experience or equivalent DevOps experience in lieu of a bachelor's degree.

Designs, automates, and maintains DevOps and DevSecOps tools, processes, and CI/CD pipelines across cloud environments. Responsibilities include automating builds, testing, monitoring, and releases; troubleshooting pipeline failures; developing Terraform infrastructure and shell scripts; and collaborating with Agile software teams throughout the development lifecycle. The role also supports cloud-native solutions and continuous automation across technical stacks.

Develop and manage cloud infrastructure and DevOps processes for client missions. Automate builds, testing, monitoring, and releases across environments; troubleshoot CI/CD pipeline issues; provision virtual machines, networks, storage, and servers; and develop enterprise cloud-native solutions. Collaborate with cloud architects, engineers, and cross-functional teams while supporting modern IT infrastructure and pursuing DevOps or DevSecOps maturity.

Designs, deploys, and manages AWS cloud infrastructure and resilient Kubernetes clusters. Develops infrastructure as code and application deployment automation using Ansible, Terraform, Packer, Helm, Kustomize, and GitLab. Secures cloud-native platforms, troubleshoots complex infrastructure and networking issues, and integrates cloud with non-cloud environments. Requires AWS, Linux administration, scripting, networking, and an active TS/SCI clearance.

Design and optimize CI/CD pipelines, infrastructure-as-code, cloud and OpenShift environments, container platforms, and DevSecOps controls. Lead automation initiatives, mentor engineers, collaborate across technical teams, and ensure compliance with security and regulatory standards. Implement monitoring and alerting, support incident resolution and root-cause analysis, improve system resilience, and contribute to AWS cloud migration and hybrid infrastructure management.

Build and scale resilient, fault-tolerant infrastructure for high-load systems. Configure CI/CD delivery pipelines, automate routine tasks, manage Linux infrastructure with infrastructure-as-code, and support database clusters. Manage production Kubernetes clusters, write Helm charts, maintain PostgreSQL high availability, backups, and replication, monitor and troubleshoot systems, and participate in on-call duties.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Build and maintain CI/CD pipelines, automate deployments, monitor system health, manage infrastructure as code, and administer Linux-based containerized environments. Support development practices including Git, code reviews, unit testing, and Agile processes. Work with Kubernetes, Helm, messaging systems, Java, monitoring tools, and cloud-based user-facing tools while supporting releases, integrations, and infrastructure operations. The position requires eligibility for a U.S. government Top Secret clearance with Full Scope Polygraph.

Maintain and enhance the NOME environment, including DevOps infrastructure, Linux systems, AWS cloud environments, CI/CD pipelines, automation, and security hardening. Troubleshoot complex infrastructure and deployment issues, support system integration and ATO preparation, remediate vulnerabilities, and recommend architectural improvements. Collaborate with engineering, development, security, and operations teams while documenting technical processes and best practices.

Owns AWS infrastructure, infrastructure-as-code, production services, observability, security compliance automation, identity and access systems, internal tooling, and CI/CD. The engineer will build TypeScript CDK stacks across multiple AWS accounts, operate ECS, Aurora, Lambda, S3, OpenSearch, and related services, automate SOC 2 and HIPAA controls, develop chat-native tools, improve deployment safety, and participate in production on-call.

Own infrastructure for humanoid robotics research, including CI/CD, containerized builds, simulation and hardware-in-the-loop testing, Airflow data pipelines, dataset registries, and AWS infrastructure managed as code. Operate Kubernetes, ECS, Batch, RDS, S3, networking, secrets, observability, and access controls. Establish compliance, reproducibility, lifecycle policies, documentation, and runbooks while supporting researchers and coordinating infrastructure reuse with platform and cloud teams.

Designs and maintains cloud infrastructure, Infrastructure as Code, CI/CD pipelines, and production environments. The role uses AWS, Terraform, Docker, and container orchestration to deliver secure, scalable, highly available platforms. Responsibilities include monitoring, troubleshooting, automation, deployment optimization, security governance, and collaboration with engineering and product teams. The engineer supports cloud-native SaaS applications and contributes to reliability, performance, cost optimization, and operational excellence.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.