Top DevOps Jobs in San Francisco Bay Area, CA

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.

Lead cloud financial engineering and automated cost governance across enterprise infrastructure. Design FinOps architecture, policy-as-code controls, CI/CD guardrails, infrastructure automation, Kubernetes cost optimization, billing data pipelines, commitment optimization, and unit-economics telemetry. Build tools using Python or Go, mentor engineering teams, and lead cost architecture reviews while integrating cloud platforms, infrastructure as code, observability, and enterprise governance practices.

Develops and maintains Infrastructure as Code, cloud environments, CI/CD pipelines, and deployment processes. Configures and tunes DevOps infrastructure, designs scalable solutions, applies software development standards, and collaborates with integration, QA, operations, and business teams. The role also mentors junior DevOps engineers and supports the full software development lifecycle using AWS, Terraform or CloudFormation, Docker, GitHub Actions, Linux, Bash, YAML, Python, or Node.js.

Automate and maintain CI/CD pipelines, provision cloud infrastructure, implement infrastructure as code, manage containerized environments, monitor system performance, and improve deployment reliability, scalability, security, and speed. Collaborate with software engineering and cloud teams while using scripting and automation to streamline IT operations.

Build and scale cloud infrastructure, Infrastructure as Code, CI/CD pipelines, database provisioning, deployment automation, monitoring, logging, and alerting for grid-scale battery storage software. Partner with software, test, and manufacturing engineering teams to improve reliability, scalability, automated testing, and production deployments across cloud-connected and potentially IoT-enabled systems.

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.

Design and manage DevOps tooling, CI/CD pipelines, cloud infrastructure, release automation, monitoring, incident response, and security practices. Collaborate with development teams to improve code quality and deployment reliability while supporting scalable, highly available services handling sensitive financial and personal data. The role also contributes to architecture, large-scale projects, and continuous process improvement in a fast-growing online gaming company.

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.

Founding DevOps Engineer responsible for designing and operating Vibecoderz’s GCP infrastructure, CI/CD pipelines, infrastructure-as-code, observability, security, cost optimization, release management, and disaster recovery. The role supports AI and multi-agent workloads, including Cloud Run services, Vertex AI, Firestore, Pub/Sub, Redis, and Neo4j. This engineer will establish reliable deployment workflows, tracing, monitoring, IAM controls, backup strategies, failover capabilities, and self-service engineering practices while scaling the platform to high availability and significant user growth.

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.

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.

Build and scale cloud infrastructure, deployment systems, CI/CD pipelines, developer tooling, observability, and reliability practices. The role supports serverless and containerized services, distributed workflows, and PostgreSQL systems while automating security and compliance workflows. Responsibilities include improving developer experience, performance, incident response, root cause analysis, on-call support, and infrastructure self-service for backend and ML teams.

Build and operate large-scale infrastructure powering AI-ready web search. Responsibilities include designing distributed systems, automating deployment and scaling, improving observability and performance, managing infrastructure as code, supporting CI/CD and model deployment workflows, and collaborating with ML and backend teams on reliable, cost-efficient production systems.

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.

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.

Designs and operates scalable AWS infrastructure, Kubernetes environments, CI/CD pipelines, and infrastructure-as-code systems. Builds deployment automation, observability, security scanning, access controls, and developer self-service tooling. Troubleshoots production incidents, improves reliability and cost efficiency, and establishes infrastructure standards. Collaborates with software engineers to improve deployment workflows and developer experience in a fast-paced startup environment.

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.