Top Senior Site Reliability Engineer Jobs in San Francisco, CA

Operate and scale Instrumental’s commercial SaaS platform on public cloud infrastructure. Build reliable distributed systems, automate infrastructure and operations, manage Kubernetes and infrastructure as code, and improve monitoring, logging, application performance, security, and compliance. Establish and measure reliability, performance, and efficiency KPIs while independently driving impactful projects in a fast-paced startup environment.

Operate, improve, and scale an AWS-based SaaS platform through production operations and engineering. Responsibilities include infrastructure automation, CI/CD, observability, incident response, root cause analysis, on-call support, reliability improvements, and reducing operational toil. The role partners with software engineers to improve scalability, security, operational workflows, and production readiness.

Site Reliability Engineer responsible for improving the reliability, resiliency, observability, and operational stability of large-scale application and platform environments. Duties include monitoring, alerting, incident response, troubleshooting, root-cause analysis, automation, performance and capacity analysis, operational readiness, and collaboration with application, infrastructure, and platform teams. The role requires strong production engineering experience, cloud platform knowledge, infrastructure-as-code familiarity, and secure operational practices.

Design, deploy, and operate a high-performance SaaS manufacturing platform on cloud infrastructure. Ensure scalability, reliability, automation, monitoring, and KPIs. Integrate AI into dev/ops workflows, lead impactful projects, and improve uptime, latency, and efficiency. Work cross-functionally in a fast-paced startup while meeting U.S. government data access citizenship requirements.

Lead the architecture, operation, and reliability of Cisco ThousandEyes’ FedRAMP-compliant US GovCloud platform. Design resilient AWS services using infrastructure as code, maintain high availability and security for large-scale data streams, automate compliance controls and auditing, and collaborate with engineering and security teams on multi-region infrastructure, risk management, incident response, and technical strategy.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

Own end-to-end SRE projects and hybrid infrastructure across AWS, Azure, and on-premises environments. Lead architecture, Terraform-based infrastructure, CI/CD, observability, FinOps, database reliability, security, incident response, automation, and documentation. Serve as a technical anchor through design reviews, complex debugging, mentorship, and platform strategy while participating in on-call and post-incident improvements.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Own and scale cloud infrastructure supporting machine learning and robotics teams. Design reliable distributed systems, build observability across monitoring, logging, and tracing, implement infrastructure as code, improve security and incident response, and optimize performance and cloud costs across AWS, GCP, and Azure.

Designs, builds, and operates secure, highly available Kubernetes platforms and cloud infrastructure. Develops Terraform modules, backend services, automation, and CI/CD workflows while improving reliability, scalability, observability, security, and cost efficiency. Partners with engineering and product teams on distributed systems, leads incident response and postmortems, establishes SLOs and disaster-recovery practices, and mentors team members.

Leads the migration of globally distributed Kubernetes workloads from AWS to an internal platform, establishes technical direction, and supports production reliability. Responsibilities include incident response, performance optimization, observability, automation, networking, security, operational readiness, and production-quality Go development for distributed systems. The role partners across infrastructure, security, SRE, product, and application teams while contributing to Kubernetes platform reliability and scalability initiatives.

The Staff Site Reliability Engineer leads reliability, resilience, scalability, observability, and operational readiness across multiple production services and engineering teams. Responsibilities include developing automation, improving CI/CD and infrastructure practices, defining SLIs and SLOs, monitoring service health, supporting incident response, optimizing distributed systems, reducing operational toil, and providing technical leadership. The role requires expertise in cloud technologies, Linux, observability platforms, clustered environments, and systems troubleshooting.

Lead the vision, strategy, and organizational growth of Payments SRE across reliability, observability, automation, incident management, performance, capacity planning, and disaster recovery. Manage SRE leaders and engineers supporting high-availability, low-latency payment systems. Partner with executives and engineering and product teams, drive compliance and operational excellence, mentor leaders, build reliability frameworks, and advance AI-enabled operations.

Lead the Site Reliability Engineering organization, managing and developing technical teams while driving reliability, scalability, observability, automation, and operational excellence. Responsibilities include infrastructure automation, vulnerability management, incident response, SLA and SLO analysis, monitoring improvements, post-incident reviews, ITIL processes, vendor coordination, and cross-functional reliability initiatives for large-scale production storage 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.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Owns reliability, resilience, scalability, observability, and operational health for production services. The Senior Site Reliability Engineer improves CI/CD, infrastructure as code, automation, incident response, capacity management, disaster recovery, and operational readiness. This role partners with software engineering teams, defines SLIs and SLOs, resolves systemic production issues, reduces operational toil, and mentors engineers while influencing reliability practices across multiple services.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.

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

Design, deploy, and maintain large-scale, highly available cloud-native systems and tooling. Collaborate with application teams to improve reliability, performance, and security; automate operations; run scale, chaos, and failure testing; participate in 24x7 incident response and on-call rotation; and standardize solutions across a multi-region microservice platform.

Staff Site Reliability Engineer responsible for setting infrastructure direction and owning availability, stability, scalability, observability, disaster recovery, and cloud costs for a SaaS platform. The role involves multi-cloud architecture, managed Kubernetes, infrastructure automation, GitOps delivery, incident response, business continuity, technical evaluations, platform migrations, and mentoring engineers. This is a fully remote U.S.-based position with an on-call rotation.

Lead the evolution of Azure infrastructure toward Kubernetes-based, microservices-oriented systems. Design reliable and scalable cloud infrastructure, observability, networking, CI/CD pipelines, and Infrastructure-as-Code. Drive incident response, cost optimization, capacity planning, performance improvements, and automation while partnering with engineering and data teams. Document best practices, mentor colleagues, and support platform strategy in a healthcare environment with PHI, access control, and audit requirements.

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.