Top Senior Site Reliability Engineer Jobs in San Francisco, CA

Design, build, and operate scalable blockchain infrastructure and Kubernetes platforms. Implement IaC, CI/CD, AI-powered automation, monitoring, incident response, and reliability improvements. Mentor engineers, lead cross-functional initiatives, and support network launches, upgrades, and production troubleshooting in a follow-the-sun on-call rotation.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

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

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 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.

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.

Design, build, and operate secure, scalable Kubernetes platforms and infrastructure as code (Terraform). Develop backend services and automation (Go, Python, JS/TS), improve CI/CD and observability, run on-call and incident response, define SLIs/SLOs and disaster recovery, embed security and compliance, mentor team members, and partner with product and engineering to raise reliability, performance, and cost-efficiency across hybrid and public-cloud environments.

The Senior Site Reliability Engineer will enhance reliability of Block's platform, improve incident response using AI tools, and coordinate incident management. Responsibilities include building reliable systems, standardizing tools, and leading high-severity incidents during on-call rotations.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

The Site Reliability Engineer ensures the reliability and performance of products Devin and Windsurf, managing incident response, CI/CD pipelines, infrastructure as code, and fostering a reliability culture within the engineering team.

Design, deploy, and operate large-scale, multi-region cloud-native services to improve reliability, performance, and security. Partner with application teams to build automation, run SLO-driven incident response and on-call rotations, leverage Kubernetes and CNCF tooling, and implement scalable operations, chaos and scale testing, and infrastructure-as-code for a resilient SaaS platform.

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.

Lead design, development, and operation of cloud infrastructure and SRE-focused systems. Own medium-to-large infrastructure projects, build resilient platforms, and drive cross-team technical delivery. Mentor engineers, define SLOs, reduce failure domains, and build tooling for automated, secure CI/CD and production reliability.

Responsible for maintaining FedRAMP-compliant infrastructure, collaborating with software engineers, and ensuring system availability and security. Duties include infrastructure design, automation, monitoring, and incident response.

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 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.

The SRE/Infrastructure Engineer will architect and manage secure, scalable systems for automated penetration testing, optimizing reliability, and enhancing infrastructure based on customer demand. Responsibilities include maintaining production environments, leading technical discussions, and promoting high coding standards.

Operate and improve reliability across Retool Cloud, managed, BYOC, and self-hosted deployments. Automate provisioning, upgrades, migrations, and secret rotations. Build observability and safer deployment/rollback workflows, partner with product teams, and produce runbooks, docs, and migration guides to reduce customer toil and scale operations.

Contribute to the reliability and performance of Mithril's GPU orchestration platform through automation, observability, and infrastructure management. Collaborate with the team to ensure scalability across multi-cloud environments while maintaining systems stability and implementing SLOs.

Design, operate, and automate global network and reliability infrastructure for large-scale ML workloads and a private supercomputer. Own device configuration management, protocols (BGP, VPNs, WAN), datacenter fabrics, monitoring/SLOs, incident response, security/compliance, and cross-team reliability improvements.

Embed with customer teams running large-scale GPU training and inference to onboard, tune, debug, and improve reliability. Diagnose fabric, driver, scheduler, and application failures; profile performance; build automation, monitoring, and preflight checks; lead incident response; and convert field learnings into product improvements and reusable reference configurations.