Top DevOps Engineer Jobs in Los Angeles, CA

Develop and maintain DevSecOps and GitOps capabilities, including CI/CD pipelines, automated testing, containerized deployments, infrastructure as code, and secure cloud-native test environments. Automate, monitor, troubleshoot, and improve development, integration, testing, deployment, configuration, and security processes. Maintain requirements traceability and collaborate with engineering teams, leadership, and government customers. The position is fully onsite and supports proprietary national security programs.

Develop and maintain secure DevOps environments, CI/CD pipelines, automated testing, containerized deployments, and infrastructure-as-code solutions. Automate and troubleshoot engineering, integration, testing, deployment, configuration, and security processes. Maintain requirements traceability, improve integration and test efficiency, and collaborate with technical teams, leadership, and government customers. The role is fully onsite, requires an active TS/SCI clearance with polygraph, occasional travel, and flexible on-call support.

Develop and maintain DevSecOps and GitOps capabilities, including CI/CD pipelines, automated testing, configuration management, containerized deployments, and infrastructure as code. Configure secure cloud-native and virtualized test environments, automate integration and deployment processes, monitor and troubleshoot systems, maintain requirements traceability, and collaborate with engineering teams, leadership, and government customers.

Designs and operates AWS cloud infrastructure, infrastructure-as-code, CI/CD and GitOps pipelines, Kubernetes or ECS workloads, observability systems, security controls, automation tooling, and cost governance. The role also supports reliability engineering through SLOs, incident response, vulnerability scanning, secrets management, disaster recovery validation, and scalable platform operations.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

Operate, improve, and scale Instrumental’s AWS-based SaaS platform through automation, infrastructure engineering, CI/CD, observability, reliability improvements, and incident response. Build secure production infrastructure, eliminate operational toil, support on-call operations, investigate root causes, and partner with engineering and security teams. The role requires expertise in AWS, Infrastructure as Code, monitoring, containers, scripting, and production SaaS environments.

Designs, deploys, documents, monitors, and diagnoses cloud-based distributed services and client applications. Provides escalation support, supports AI-enabled software development, manages scaling and databases, maintains CI/CD environments, tests APIs, and monitors application releases and dependencies. The role collaborates across development and operations teams in a fast-moving product company.

Manage and optimize AWS cloud infrastructure in a fully remote DevOps role. Responsibilities include incident response, root cause analysis, ticket resolution, CI/CD and infrastructure automation, configuration management, observability, security best practices, cost optimization, and technical documentation. The role supports migration of Department of Interior applications to a secure multi-cloud platform and requires collaboration with customer DevOps teams.

Build, automate, and operate CI/CD pipelines and infrastructure across commercial and access-restricted cloud environments. Manage infrastructure as code, harden software for compliance-driven deployments, and maintain platform reliability, scaling, and capacity planning. The role requires AWS, GitHub Actions, containerization, restricted-network experience, and an active top-secret clearance with polygraph. Work is remote-first but includes 40–50% on-site customer visits.

Lead DevOps Engineer responsible for designing and managing GitOps and CI/CD pipelines, release workflows, Terraform infrastructure, Kubernetes platforms, observability, cloud networking, security, and cost optimization. The role leads Azure-to-GCP migrations, administers cloud policies and access controls, supports production systems, mentors engineers, and drives Agile release and continuous-improvement practices.

Build, maintain, and optimize CI/CD pipelines, cloud infrastructure, and automated deployment workflows across AWS and Azure. Manage Docker and Kubernetes environments, implement GitOps with ArgoCD, automate provisioning with Ansible and AWX, administer Linux and Windows systems, and support release engineering. Develop scripts, monitor system health, apply security policies, troubleshoot production issues, and collaborate with development, QA, and operations teams to deliver reliable software releases.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Maintain and improve AWS-based Kubernetes infrastructure, GitLab CI/CD pipelines, Terraform modules, and Helm deployments for a satellite communications platform. The role focuses on cloud reliability, security, observability, IAM, troubleshooting, automation, and operational support across distributed engineering teams.

Build and maintain CI/CD pipelines, containerized applications, and cloud infrastructure. Automate provisioning and deployments, monitor system health and performance, troubleshoot infrastructure issues, and improve platform reliability. Implement security controls, access management, observability, and infrastructure-as-code practices while supporting scalable distributed systems and developer infrastructure.

Designs and operates scalable AWS cloud platforms using Golang, Kubernetes, Terraform, and Docker. Responsibilities include infrastructure provisioning, CI/CD automation, container orchestration, monitoring, observability, incident response, root cause analysis, security hardening, and reliability improvements. The role participates in on-call rotations, supports production environments, and collaborates with development, security, and architecture teams to promote DevOps, SRE, and cloud-native best practices.

Develop and maintain CI/CD pipelines, integrations, developer tools, observability systems, and shared developer resources. Troubleshoot production issues through root cause analysis, resolve technical problems, design maintenance procedures, and apply security updates. The role requires collaboration, independent work within established frameworks, and proficiency with Git workflows, Java, Groovy or Python, Docker, Jenkins, and AI prompt engineering.

Own and operate AWS environments across networking, systems, and related services. Support development workflows through AWS environments, automate DevOps tasks with scripts, collaborate with development, infrastructure, and IT teams, and help identify practical AI applications. The role requires strong AWS expertise, problem-solving ability, attention to detail, flexibility, and effective communication.

Own cloud infrastructure, CI/CD, and cloud operations across GCP and/or AWS. Build Terraform-based platforms, Jenkins pipelines, Docker workflows, automation scripts, monitoring, logging, alerting, and incident response processes. Improve cloud security, access control, cost efficiency, and reliability while partnering with engineering and QA teams. Mentor team members and streamline build, testing, and release processes.

Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.

Designs, deploys, and maintains Azure cloud infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and production systems. Responsibilities include improving reliability, scalability, security, performance, and cost efficiency; troubleshooting complex incidents; supporting migrations and modernization; developing automation; and collaborating with development, QA, security, and business teams on software delivery and operational readiness.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Builds and operates AWS developer-platform infrastructure, CI/CD pipelines, Terraform-based service infrastructure, Kubernetes and serverless workloads, and self-service onboarding workflows. Responsibilities include configuring connectivity, secrets, observability, security controls, and environment promotion; troubleshooting delivery and production issues; supporting releases; managing infrastructure drift; and contributing to AI-augmented automation and tooling. The role partners with Engineering, Release, SRE, and Infrastructure teams while maintaining documentation and compliance evidence.

Architect and maintain AWS infrastructure using Terraform or AWS CDK, build CI/CD and GitOps pipelines, manage Kubernetes or ECS workloads, and establish observability, security, reliability, and cost-governance practices. Develop automation with Python or Go, support disaster recovery, optimize cloud resources, and contribute to container, identity, secrets-management, and compliance initiatives.