Top SRE Engineer Jobs in San Francisco Bay Area, CA

Lead SRE to define SRE strategy, architecture, and roadmap; design and operate containerized, compliant cloud environments; build observability, incident management, automation, and developer platform capabilities; mentor SRE team and collaborate with security, compliance, and product teams to ensure reliability at scale.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

Lead SRE role designing and maintaining CI/CD pipelines (GitHub Actions), containerized deployments (Docker, Kubernetes, AKS, Helm), web/mobile app releases, observability, automated testing, and DevOps best practices across cloud environments with cross-functional collaboration and regulatory compliance.

The Staff Site Reliability Engineer will build and scale infrastructure for Assured's platform, automate delivery, enhance observability, and lead mentoring initiatives.

Own the operational lifecycle of cloud-native data infrastructure: design and automate reliable deployments, observability, incident response, SLIs/SLOs, autoscaling and IaC, and improve platform efficiency and data freshness across GKE and Cloud Run.

Own and improve platform performance, reliability, and deployment automation. Manage cloud infrastructure, implement IaC, monitor systems with observability tools, provide operational support for distributed applications, and integrate production learnings into development workflows.

Lead reliability for a serverless AI inference platform: own observability and SLO/SLI frameworks, build automation and tooling, manage incidents and on-call, define deployment safety (canaries, rollbacks), influence architecture with product teams, and mentor other SREs.

Senior SRE responsible for production reliability of Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope). Partner with product squads, define per-tenant SLOs, automate reliability practices, lead incident response/on-call, reduce toil, improve alerting, and influence design for scalability and operability.

As a Site Reliability Engineer, you will manage the production environment, focusing on infrastructure design, automation, and optimizing deployment pipelines to ensure high availability.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

Design, deploy, and maintain AWS-hosted Kubernetes (EKS) infrastructure; build automation and AI-assisted runbooks; provide observability and incident response; ensure HIPAA-compliant, high-availability platform operations and mentor engineering teams.

The Senior Site Reliability Engineer at Juul Labs ensures operational stability and performance of hybrid cloud infrastructure, leads automation, and handles critical incidents.

The Site Reliability Engineer will manage digital infrastructure, ensuring access to compute resources, automating processes, and maintaining resource visibility for researchers.

Lead and operate cloud infrastructure and SRE practices, focusing on IaC, CI/CD, observability, incident response, and production-grade agentic AI/LLM systems. Architect, build, and run scalable platforms, drive reliability and SLOs, author runbooks/ADRs, mentor engineers, participate in on-call rotations, and reduce toil via automation and platform tooling.

Lead the technical architecture and execution of migration to AWS, drive developer enablement, and automate infrastructure using code-first principles.

As a Site Reliability Engineer, ensure the reliability, performance, and scalability of Ditto's cloud infrastructure by developing observability solutions, leading incident management, and collaborating with product engineering teams.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

This role involves ensuring the reliability and performance of ClickHouse's cloud infrastructure, collaborating with engineering teams, incident management, and driving continuous improvement in service availability.

The role involves improving operational reliability, managing production environments, enhancing observability, automating tasks, and collaborating with engineering teams, requiring 3-6 years of relevant experience.

As a Senior Site Reliability Engineer, you will support product deployments, provide engineering support, maintain systems, and collaborate with teams globally to enhance infrastructure reliability.

Ensure platform reliability, performance, and availability by implementing observability, automating infrastructure, participating in on-call rotations and post-mortems, partnering with Product and Engineering, designing scalable architectures, mentoring teammates, and integrating Dynatrace with Azure DevOps and Jira while supporting compliance (SOC/FedRAMP).

As a Site Reliability Engineer at Alpaca, you will ensure system reliability and performance, troubleshoot issues, and collaborate with teams to design scalable features.

Design, scale, and operate secure AWS cloud infrastructure (EKS, IAM, RBAC); build and maintain IaC (Terraform/Terragrunt), GitHub Actions CI/CD, Datadog observability, and Python automation; document runbooks, participate in on-call rotations, postmortems, and Agile workflows to improve reliability and security.

The Site Reliability Engineer will manage infrastructure stability and scalability, lead cloud migrations, and optimize performance across systems while mentoring team members.

Own production reliability for customer-facing radar and weather data services across Azure, colocation, and edge Kubernetes. Refactor C#/.NET services for multi-replica safety, design multi-cluster HA, operate self-managed Kubernetes, improve observability and automation, lead incident response and postmortems, and drive operational excellence and capacity planning.