Top Senior Site Reliability Engineer Jobs in San Francisco, CA

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

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.

Provide frontline desktop support for employees (remote and in-person), triage and resolve hardware, Windows, application, phone, and market-data feed issues, manage tickets, perform firmware/patch deployments, and collaborate with IT teams. Support trading desk/C-suite users and maintain endpoint security and configuration management.

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.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Build and operate the Veeam Data Cloud GOV environment: map systems, write runbooks, define SLIs/SLOs, run incident response, close observability gaps, automate deployments and support fleet management while working across security and compliance constraints.

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.

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.

Lead product lifecycle for internal PaaS and Data-as-a-Service offerings focused on SRE and data engineering. Drive system reliability (99.99% availability), scaling strategies, GCP cost optimization, BigQuery/table and ETL performance, AI/ML enablement, and data governance/compliance across cross-functional teams.

Serve as an SRE-focused AI enablement partner: evaluate AI architectures, coach engineering teams on LLM integrations and agentic/RAG patterns, advise on observability, SLOs, governance, and operational readiness, and develop internal standards and documentation.

The Site Reliability Engineer will lead technical initiatives, architect solutions, troubleshoot issues, mentor team members, and improve observability practices.

Lead technical design and architecture of large-scale Ceph clusters, drive capacity planning and major upgrades, resolve complex cross-functional production incidents, establish automation and reliability standards, and mentor engineers on advanced Ceph operations to scale the global storage platform.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.

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.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

Own and improve uptime for backend services, APIs, workers, and ML pipelines; build monitoring, alerting, auto-remediation, optimize GCP infrastructure and Postgres performance, run on-call rotation and blameless postmortems.

Lead improvements in reliability, performance, scalability, capacity, and observability through automation and tooling. Partner with developers to design infrastructure and monitoring, define SLIs/SLOs, conduct load and performance testing, participate in incident response and root cause analysis, and manage monitoring services for production systems.

The Staff Site Reliability Engineer will lead in designing and maintaining cloud infrastructure on GCP, drive IaC strategy, manage Kubernetes operations, ensure security compliance, and mentor engineers.

Design, automate, and maintain highly available cloud infrastructure and CI/CD platforms. Troubleshoot and debug Linux systems and networking, automate infrastructure (Terraform/Chef/Ansible/Puppet), and improve scalability, reliability, and platform velocity. Participate in on-call rotation and collaborate across engineering teams.

Own and operate Loft's cloud and hybrid network infrastructure: design architectures, secure connectivity, manage network-as-code (IaC), define SLOs and observability, automate toil, and participate in SRE incident response and platform reliability.

Lead reliability, availability, and resiliency strategies for large-scale systems, drive operational excellence, and provide technical mentorship across engineering teams.

Build, operate, and scale AWS cloud infrastructure and Kubernetes workloads using Terraform and Helm. Improve observability, define SLIs/SLOs, automate deployments and incident response, support on-call rotation, and implement security and compliance (HIPAA, SOC 2) best practices while partnering with product and engineering teams.

The Senior Staff SRE leads reliability engineering initiatives, drives operational excellence, mentors staff, and influences architecture to enhance system reliability and performance.

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.

Design and maintain developer experience tooling and CI/CD pipelines, manage self-service deployment tools (secrets, rollbacks), partner with cloud teams to troubleshoot production systems, participate in on-call rotation, and write production-grade automation and tests in Go and TypeScript to improve developer velocity and reliability.