Top SRE Engineer Jobs in San Francisco Bay Area, CA

Lead cloud, DevOps, and SRE architecture efforts to scale CareSource's digital platform. Partner with Cloud, DevOps, Security, and SRE teams to design infrastructure, build Terraform templates, enhance CI/CD pipelines, implement monitoring/alerting, and improve reliability, scalability, and incident response for enterprise-scale digital products.

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

Operate and improve large-scale on-premises infrastructure across bare-metal servers, VMs, storage, networking, Kubernetes, containers, CI/CD, and Kafka. Automate provisioning and configuration with Ansible and related infrastructure-as-code tools, maintain observability and reliability, troubleshoot hardware and operating systems, manage disaster recovery, and support incident response. The role requires onsite work weekly at a designated data center and participation in on-call rotations.

The Site Reliability Engineer will enhance operational resilience, ensuring system stability, observability, and debugging workflows for complex failures while improving developer focus and uptime.

As a Software Engineer on the Site Reliability team, you'll ensure system reliability, scalability, and observability while partnering with engineering teams and improving incident management processes.

As a Staff Software Engineer in Site Reliability, you'll manage infrastructure for reliability and scalability, lead incident management, and automate operational tasks.

As a Software Engineer in Site Reliability, you will ensure the reliability and performance of our AI platform through automation and strategic infrastructure management.

The Site Reliability Engineer will design, analyze, and troubleshoot large-scale distributed systems, focusing on operating systems and performance tuning.

The Senior Site Reliability Engineer will automate operations, improve workflows, manage secure infrastructure, and participate in on-call rotation for an AI-driven company.

The Staff Site Reliability Engineer will lead source control strategy, manage Git-based monorepo operations, improve developer productivity, and oversee migrations to GitHub Cloud.

The role involves end-to-end ownership of AWS infrastructure, managing Kubernetes platforms, and ensuring system reliability through observability and automation. Responsibilities include incident response and maintaining CI/CD systems.

Own the reliability, scalability, and operational health of an AWS and Kubernetes-based platform supporting connected sensors. Responsibilities include production troubleshooting, incident leadership, infrastructure management with Terraform, automation, CI/CD improvements, observability, service-level objectives, runbooks, and post-incident reviews. The role partners with application, AI, embedded systems, and fleet teams and participates in on-call support.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Ensure reliability and performance of Plaud.ai's AI products at scale by designing and operating cloud-native systems, owning production reliability and incident response, building observability and automation, defining SLOs/SLIs, driving postmortems, and partnering with product and engineering teams to improve operational maturity.

Lead SRE work partnering with development teams to design and implement availability, scalability, observability, and automation for production systems. Build tooling, manage incident response and RCAs, optimize capacity and performance, mentor engineers, maintain runbooks, and participate in a 24x7 on-call rotation.

Own and improve infrastructure for the Data Replication platform: Kubernetes, CI/CD, secrets, networking, cloud (AWS/GCP). Drive reliability, observability, AI-augmented tooling, canary rollouts, incident reduction, runbooks, and partner with product engineers.

Own and operate large-scale infrastructure for sports betting and media platforms across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and alerting, support development teams, and participate in incident response. The role requires strong distributed-systems expertise, production troubleshooting, cross-team project leadership, technical communication, and mentoring.

Own production reliability and performance for a healthcare AI platform: define SLIs/SLOs, run incident response and postmortems, build observability and automation, optimize scalability across serverless and container services, and partner with engineering, security, and compliance to improve operational maturity.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

Design, deploy, and maintain resilient cloud infrastructure for Ping Identity’s mission-critical services. Build and optimize automated CI/CD pipelines, support cloud security and observability, evaluate technologies, participate in planning and on-call rotations, and help improve engineering practices. Collaborate across development and operations teams while sharing expertise and supporting distributed production systems.

The Senior Site Reliability Engineer will lead service onboarding, maintain SLAs/SLOs, design secure infrastructure, automate operational tasks, and respond to incidents while ensuring system reliability and performance.

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.