Top DevOps Engineer Jobs in San Francisco Bay Area, CA

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Designs, builds, and optimizes CI/CD pipelines across legacy mainframe and AWS environments. Automates workloads, integrates testing, maintains APIs, supports application integration, troubleshoots deployment issues, and improves DevOps processes. The role also supports software developers in an Agile/Scrum environment and contributes to modernization efforts bridging z/OS systems with cloud platforms.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Provisions and supports Azure cloud infrastructure, Terraform modules, and Azure DevOps CI/CD pipelines. Manages Azure resources, landing zones, networking, identity, security controls, monitoring, compliance, cost optimization, and deployment automation. Troubleshoots infrastructure and pipeline issues, supports incident response, and partners with application, security, networking, and operations teams. The role also develops runbooks, maintains environment parity, and delivers governed, reliable, production-ready DevOps capabilities.

Build and operate scalable CI/CD, GitOps, and monorepo infrastructure for frontier models and custom AI accelerators. Design regression, benchmarking, release qualification, orchestration, artifact management, observability, and capacity-control systems. Partner with model, compiler, kernel, runtime, firmware, validation, and hardware teams to automate production-readiness gates, improve reliability and developer productivity, and shorten feedback loops.

Lead the evolution of cloud-native infrastructure by architecting and scaling AWS EKS clusters, standardizing Helm deployments, managing Terraform and Terragrunt infrastructure, optimizing cloud costs, and improving observability, reliability, security, and access controls. The role leads cross-team engineering initiatives, establishes DevOps best practices, and mentors engineers while supporting GitOps workflows and scalable application delivery.

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 globally-redundant infrastructure for a finance-focused AI platform. Scale systems to handle billions of requests and petabytes of data, ensure NSA-level security, debug production across services, and create tooling and standards to accelerate engineering velocity.

Designs and maintains scalable, secure cloud infrastructure using Pulumi, TypeScript, GKE, and Kubernetes. Builds CI/CD pipelines, manages monitoring and logging, optimizes cloud costs, and supports high availability, disaster recovery, and backups. Collaborates with development teams, automates operational processes, documents infrastructure, and participates in production on-call support.

Own CI/CD pipelines, cloud infrastructure, infrastructure-as-code practices, and observability systems for a mesh networking platform. Build monitoring and alerting, improve deployment reliability, and partner with engineers to reduce deployment friction. The role requires production cloud experience, scripting and automation skills, and familiarity with tools such as Terraform, CloudFormation, Kubernetes, and public cloud platforms.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

Design, build, and maintain highly available AWS GovCloud infrastructure supporting FedRAMP environments. Manage ECS scaling, RDS PostgreSQL performance and failover, infrastructure as code, disaster recovery, monitoring, alerting, CI/CD automation, incident response, troubleshooting, and post-mortems. Collaborate with engineering teams to improve system reliability, security, and performance.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

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.

Build, secure, and operate AWS and AWS GovCloud infrastructure across commercial and government environments. Own CI/CD pipelines, Kubernetes and GitOps deployments, infrastructure as code, environment segmentation, secrets management, monitoring, incident response, database migrations, and compliance automation. Support FedRAMP, GovRAMP, and IL5 authorization requirements, collaborate with Security/GRC on audits and continuous monitoring, and improve reliability, scalability, and engineering productivity.

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.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Design, implement, and operate CI/CD pipelines for mobile and backend services; maintain build/test/release processes with quality gates and artifact management; configure non-production environments; support release preparation and deployment coordination; integrate monitoring/logging and improve automation, performance, and reliability of delivery pipelines.

Designs, automates, secures, and operates AWS and Azure cloud platforms. Builds infrastructure with Terraform and CloudFormation, maintains CI/CD pipelines, collaborates with software engineering teams, and improves deployment automation. Supports cloud services, monitoring, logging, alerting, incident response, root cause analysis, security remediation, and platform reliability. Uses automation and AI-assisted engineering tools to streamline operations and troubleshooting.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

Own Azure and Microsoft 365 platform architecture, landing zones, governance, DevOps standards, reliability, security, and compliance automation. Lead and mentor DevOps engineers, establish infrastructure-as-code and CI/CD practices, define monitoring and SRE standards, manage escalations and technical debt, and communicate platform risks and decisions to executives and stakeholders. The role also manages vendor relationships and supports audit readiness for SOX and ISO 27001.

Manage and optimize a large AWS infrastructure, addressing scalability and availability concerns while preparing for significant growth. Lead systems management and automation efforts, collaborate with data science, computer vision, machine learning, and software teams, and improve the engineering lifecycle. The role also involves connecting cloud infrastructure with IoT and using technologies such as Docker, Ansible, Python, and database systems.

Manage and scale AWS infrastructure, improving availability, scalability, and system performance. Lead systems management and optimization across engineering teams, connect cloud infrastructure with IoT hardware, and streamline development workflows through DevOps practices. The role requires strong Python and scripting skills, AWS expertise, automation frameworks, relational databases, networking fundamentals, and container technologies.

Designs and manages scalable cloud infrastructure across AWS and GCP using Kubernetes, Docker, and Terraform. Builds CI/CD pipelines, administers Linux systems, and improves observability with monitoring and alerting tools. Automates operations with Bash and Python, collaborates with engineering, data, and security teams, and participates in on-call support to maintain service reliability.