Top Senior Site Reliability Engineer Jobs in San Francisco, CA

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Lead reliability, scalability, observability, automation, infrastructure, disaster recovery, and security initiatives for Crunchyroll’s cloud-native data platforms. Design and operate Kubernetes and GCP systems, establish SRE practices including SLIs, SLOs, and error budgets, manage incidents and vulnerabilities, strengthen cloud security, and mentor engineers across teams.

Leads the design, operation, and optimization of large-scale Kubernetes platforms across cloud and on-premises environments. Drives reliability, security, scalability, Infrastructure-as-Code, GitOps, observability, incident response, and automated remediation initiatives. Partners with engineering, security, and product teams on platform roadmaps, leads major incidents and architecture reviews, and mentors senior engineers. Requires extensive distributed-systems, Kubernetes, networking, cloud infrastructure, SRE, automation, and software engineering experience.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Manage and improve CI/CD pipelines, containerized deployments, AWS infrastructure, Terraform resources, monitoring, and incident response for the SportsRecruits platform. Troubleshoot application, database, and distributed-system performance issues; maintain development and QA environments; collaborate with engineering, QA, product, and security teams; and implement automation, observability, scalability, and AI-assisted monitoring improvements.

Own technical customer implementations and adoption programs for Harness AppSec solutions. Provide hands-on architecture, consulting, onboarding, optimization, and value-realization guidance across cloud, DevOps, security, and infrastructure environments. Analyze usage and adoption data, identify risks and opportunities, conduct business reviews, develop success plans, advise customer leadership, provide product feedback, and collaborate with sales, product, and engineering teams. Build reference architectures, best-practice guides, and customer enablement resources.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

Designs, operates, and scales software-defined and enterprise storage platforms across private and public clouds. Builds Kubernetes and OpenStack storage workflows using Infrastructure-as-Code, GitOps, CI/CD, and automation. Maintains highly available, resilient, secure, and observable infrastructure; performs troubleshooting across storage, Linux, networking, hypervisors, and Kubernetes. Participates in on-call support, incident response, disaster recovery, change management, documentation, and technical mentorship.

Designs, standardizes, and supports enterprise compute and hypervisor platforms, including bare metal, Linux, virtualization, private cloud, and Kubernetes. Builds BMaaS capabilities, PXE and Redfish provisioning, infrastructure automation, CI/CD pipelines, and hardware lifecycle workflows. Troubleshoots storage, networking, Kubernetes, hypervisor, and Linux issues while producing technical designs and supporting production escalations. Collaborates with platform, operations, network, and storage teams on secure, scalable, highly available infrastructure.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Own reliability and operations for a multi-tenant AI agent platform running on AWS. Define SLOs, observability, alerting, disaster recovery, model-provider resilience, tenant isolation, security guardrails, safe deployments, and cost controls. Manage infrastructure through Terraform and Spacelift, lead incident response and game days, improve PostgreSQL resilience, and establish standard deployment practices for product teams. Partner with Security and Privacy on AI risk controls and regional data residency.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Build and maintain secure, reliable hybrid infrastructure supporting AI model inference and enterprise SaaS. Automate operational processes, improve developer and machine learning workflows, manage deployment tooling, monitor and audit infrastructure, optimize large-scale systems, and participate in on-call rotations and root cause analysis. The role works across Linux, cloud, container, networking, storage, databases, and distributed computing platforms, including GPU-enabled data centers.

Own end-to-end reliability for an enterprise application by defining SLOs, building observability and alerting, shipping resilient Python and Rust code, operating EKS and AWS infrastructure, maintaining CI/CD and infrastructure-as-code, leading incident response, and driving security, compliance, load testing, capacity planning, and chaos engineering. Mentor engineers and support progressive delivery in regulated national-security environments.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability and automation, lead incident response and root-cause analysis, improve resilience and recovery, and reduce operational toil. Partner with product and platform teams on reliability-focused design, establish incident practices, manage the SRE roadmap, and mentor engineers across Cloud Engineering and Reliability.

Own platform uptime, SLAs, SLOs, observability, high-availability deployments, containerization, and CI/CD. Optimize Python applications, troubleshoot production systems to the OS level, lead incident response and post-incident reviews, and establish reliability practices across engineering. The role also involves on-call support, performance profiling, capacity planning, and independently delivering reliability projects.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Own global product deployments, production environments, reliability monitoring, alerting, CI/CD tooling, Terraform infrastructure, and first-line operational support. Diagnose and resolve product issues, optimize Kubernetes performance and costs, enhance documentation, establish SRE practices, secure cloud systems, and mentor engineers across distributed international teams.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

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

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Build and operate large-scale GPU cloud infrastructure through automation, self-healing systems, observability platforms, and infrastructure-as-code pipelines. Develop production-grade tools in Python or Go, manage Kubernetes and Linux environments, integrate data center and CI/CD systems, respond to incidents, and improve reliability through automation, monitoring, postmortems, and root-cause analysis.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.