Top SRE Engineer Jobs in San Francisco Bay Area, CA

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

As a Senior Staff Site Reliability Engineer, you will lead the SRE team, advocate best practices, ensure resilience in cloud architecture, and mentor team members.

As a Platform Engineer, you will enhance reliability and performance, design operational processes, and build monitoring systems while collaborating with a talented team.

As a Site Reliability Engineer at Mercor, you will ensure production reliability, develop SRE function, and collaborate with engineering teams to maintain system performance.

Join a passionate team to enhance reliability and performance of the AI control plane, manage deployments, and respond to production incidents while ensuring service quality for customers.

The Site Reliability Engineer will architect and manage ground infrastructure for satellite systems, ensuring high availability, automating deployments, and optimizing data management systems.

Senior SRE responsible for ensuring platform scalability, reliability, and runtime efficiency on AWS. Own CI/CD and GitHub repo workflows, lead incident response and post-mortems, implement observability/monitoring and logging, and collaborate cross-border using bilingual Mandarin and English.

Lead technical vision as a principal engineer, either managing teams or driving cross-team initiatives. Design and architect cloud infrastructure, networking, and security; define authentication/authorization patterns; architect and operate Kubernetes deployments; and implement infrastructure-as-code using tools like Terraform, CloudFormation, Ansible, or Puppet.

Design, build, and operate Optura's multi-cloud, HIPAA-aware platform: run Kubernetes across cloud and customer on-prem/air-gapped environments, create unified deployment tooling (Helm/operators/GitOps), own SLOs/capacity/incident response, drive reliability, implement identity/networking/security controls, and build IaC/GitOps patterns in partnership with product and security teams.

Lead reliability for Autodesk GovCloud services by deploying, operating, and automating production systems. Define SLOs/SLIs, build observability and automation, run incident response and on-call rotation, ensure compliance (FedRAMP), perform resilience testing and toil reduction, and collaborate across engineering, security, and platform teams to improve service reliability and operability.

As an AI Support Engineer, you'll manage support requests, resolve user issues, optimize ML models, and contribute to product development.

Design, build, and maintain cloud platform services for sensitive federal missions. Operate and monitor air-gapped, secure environments; build CI/CD pipelines without internet; maintain SLOs/SLIs; own runbooks and incident response; support POA&M and Authority to Operate activities; and deliver internal platform enablement while ensuring strict compliance and security.

The Site Reliability Engineer will drive reliability for the Tinker platform, focusing on incident response, monitoring, and ensuring system resilience while collaborating across teams.

Build and operate the core infrastructure for Arena's online evaluation systems: design low-latency, high-reliability APIs and gateways, implement enterprise-grade features (rate limiting, auth, metering, audit logging), instrument observability (tracing, latency, usage tracking), integrate with LLM providers and the evaluation platform, and collaborate with research and product teams to scale and harden systems for bursty, unpredictable traffic.

As a Site Reliability Engineer, you'll ensure robotics system reliability, build telemetry integration, and develop tools for diagnostics and automation, collaborating with engineering teams for enhanced production reliability.

Maintain and improve site performance, uptime, and scalability. Build monitoring, alerts, runbooks, and deployment tooling. Troubleshoot across the stack, partner with application teams, propose architecture changes, and support on-call operations to ensure reliable product delivery.

Lead incident detection and resolution, design automation and self-healing systems, build observability and AI/ML-powered operational tooling, define SLOs/SLIs and error budgets, mentor engineers, and operate in a 24/7 global SRE model to improve reliability and reduce toil.

Operate and scale ThousandEyes Federal region infrastructure in a FedRAMP-compliant AWS environment. Design, deploy, and automate cloud-native services, implement IaC, monitor and audit systems, collaborate with security teams to remediate vulnerabilities, participate in 24x7 incident response and capacity planning, and ensure platform reliability, performance, and compliance.

Lead and own the release and deployment process, manage GitHub workflows and Actions, build and maintain AWS infrastructure and observability, automate deployments and internal tooling, respond to incidents and be on-call, contribute code to reliability tooling, and support global/offshore teams across time zones.

The Site Reliability Engineer will ensure the reliability and performance of AI infrastructure, build core systems, handle incident response, and develop automation tools.

Operate, scale, and improve a cloud-native platform on AWS and Kubernetes. Manage GitOps deployments with ArgoCD and Helm, provision infra with Terraform/Terragrunt, build CI/CD automation, enhance observability, respond to incidents, reduce operational toil through scripting, and collaborate with security and application teams to improve reliability and platform guardrails.

The SRE/Infrastructure Engineer will manage Terraform and Kubernetes across cloud platforms, ensuring scalable infrastructure. Responsibilities include multi-cloud deployments, observability, and creating reusable components.

Design, build, and scale control- and data-plane infrastructure for distributed AI workloads. Improve reliability, performance, scheduling, and observability for Ray clusters across cloud and on-prem environments. Support accelerator integration, container image management, and provide on-call troubleshooting and cross-team collaboration.

The role involves building and managing observability infrastructure in GCP, automating deployments, and optimizing data processes for high reliability.

As a Staff SRE, you will ensure the reliability and performance of Andromeda's GPU infrastructure, lead incident responses, build observability systems, and mentor engineers, while collaborating closely with engineering and customers.