Top Reliability Engineer Jobs in San Francisco, CA

Own reliability across cloud, edge, and on-site deployments. Build observability, monitoring, and alerting. Define incident response and on-call processes, improve deployment workflows, diagnose infra/network/distributed-system issues, and make deployments repeatable and scalable.

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

As a Cloud Cost Utilization SRE at GitLab, you'll manage cloud spending, improve tracking and optimization of cloud usage, and collaborate with finance and engineering teams to enhance cost efficiency across AWS and GCP.

The role involves designing, optimizing, and maintaining PostgreSQL and MySQL databases, ensuring high availability, reliability, and performance for mission-critical systems, while automating operational tasks and responding to incidents.

The SRE will ensure the reliability of backend systems, scale Kubernetes-based control planes, and improve automation mechanisms while managing incident processes.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Lead end-to-end platform reliability: define SLIs/SLOs, harden production architecture, ensure Kubernetes runtime and queue safety, run incident command for Sev1/Sev2, own observability/on-call/runbooks, and gate risky releases while delivering a prioritized reliability roadmap.

Software Reliability Engineers at Waymo ensure the stable operation of autonomous systems, collaborating on reliability solutions and system performance improvements.

The Senior Reliability Engineer will establish AeroVect's reliability engineering practice, leading reliability analyses and managing external testing programs to ensure product durability and performance across operational environments.

Operate and maintain AWS-hosted MERN applications and large-scale data workflows. Manage serverless and Spark-based pipelines, perform incident response and on-call duties, engineer automation to eliminate operational toil, ensure HIPAA/SOC2/HITRUST compliance, build observability and lead blameless post-mortems.

Lead reliability engineering for Silicon Photonics hardware: define and validate reliability models, perform MTBF/MTBCF predictions, analyze field data, direct verification testing and root-cause analysis, drive corrective actions, and mentor cross-functional teams to improve product reliability.

As a Database Reliability Engineer at ClickHouse, you'll improve reliability, manage escalation processes, support incident response, and enhance database performance while collaborating across teams.

Drive reliability qualification and production monitoring for optical communication products. Track and analyze reliability stress tests, investigate failures with cross-functional teams, implement corrective actions, maintain dashboards and reports, support NPI, and apply statistical and AI tools to generate reliability insights and improve product quality.

The Senior Reliability Engineer enhances equipment reliability, reduces downtime, and improves maintenance strategies across production. This role involves collaboration with engineering and operations, leading reliability programs, and mentoring junior staff.

The Staff Reliability Engineer will ensure hardware reliability in high-voltage electronics, develop reliability test programs, and collaborate on design and testing across teams.

Own and evolve Babylist's AWS infrastructure and developer platform using Terraform and Kubernetes. Improve CI/CD reliability, support engineers across environments, define monitoring and alerting standards, lead incident response and postmortems, and shape platform architecture to scale for millions of users.

Lead reliability engineering for electromechanical systems, including testing and validation of hardware to ensure performance and durability.

Owner of on-prem reliability and escalations: reproduce and resolve L2/L3 issues across heterogeneous Kubernetes environments, build diagnostics and automation, improve CI and e2e test stability, establish performance baselines, harden install/upgrade flows, and write tooling in Python/Go/Rust to reduce repeat incidents.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Diagnose and remediate hardware, firmware, and OS issues across large GPU clusters. Own drivers, kernel interfaces, diagnostics, and firmware lifecycle. Automate reliability monitoring, analyze error rates, engage vendors and manage RMAs, and write postmortems to reduce failures and improve fleet reliability for large-scale AI experiments.

Drive cell-package and module-level reliability testing for perovskite–silicon tandem modules. Design and execute environmental and accelerated life tests (damp heat, thermal cycling, UV, outdoor exposure), perform failure analysis, develop accelerated stress protocols, coordinate third-party testing, and provide data-driven lifetime modeling and cross-functional reliability guidance to R&D, process, and product teams.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

As a Senior Site Reliability Engineer, you will enhance the reliability of Drata’s product teams through automation, architecture reviews, and operational excellence using cloud-native technologies.