Top Senior Site Reliability Engineer Jobs in San Francisco, CA

Design, develop, deploy, monitor, and maintain AI-enabled enterprise and cloud security solutions. Build machine learning workflows, data pipelines, and scalable security capabilities using Python, Java, TensorFlow, and related libraries. Analyze security risks and data quality, translate technical findings into client recommendations, support security controls across cloud and infrastructure environments, review deliverables, and mentor junior team members.

Lead the architecture, operation, and reliability of Cisco ThousandEyes’ FedRAMP-compliant AWS GovCloud platform. Build resilient cloud-native services using infrastructure as code, maintain high availability and security for high-volume data streams, automate compliance controls and auditing, and optimize multi-region infrastructure. Collaborate with engineering and security teams, lead technical initiatives, address operational risks, and establish engineering standards for regulated environments.

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.

Build and operate reliable cloud infrastructure through software engineering, automation, observability, Kubernetes operations, incident recovery, disaster recovery, and Infrastructure as Code. The role improves cloud performance, security, resilience, and cost efficiency; leads FinOps and reliability practices; supports AWS and Azure environments; validates AI-assisted infrastructure workflows; and mentors engineering teams on architecture, deployments, and production readiness.

Deploys, operates, and improves scalable, fault-tolerant cloud infrastructure. Responsibilities include maximizing uptime, building monitoring and alerting, troubleshooting critical services and Kubernetes workloads, automating system updates, creating infrastructure and deployment tooling, and collaborating with Services and Engineering teams. The role requires expertise in Linux, cloud platforms, Kubernetes, databases, configuration management, scripting, and infrastructure as code.

Build and operate reliable infrastructure for customer environments across AWS, Google Cloud, and Azure. Develop Terraform modules, Helm charts, Kubernetes configurations, and deployment automation; manage monitoring, alerting, capacity, recovery, security, and upgrades. Diagnose cloud networking, IAM, certificates, storage, and cluster issues. Collaborate with engineering, customer infrastructure, security, solutions, and support teams, contribute to orchestration services, create operational tooling and runbooks, and participate in production on-call.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Build, deploy, and operate reliable compute infrastructure and services across customer on-premises and cloud environments. Design air-gapped deployments, manage Kubernetes platforms, improve scalability and availability, troubleshoot distributed systems, optimize constrained resources, write tests, document operations, and participate in on-call rotations. Collaborate with engineering teams and customers to support satellite operations and image-processing platforms.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Designs and maintains highly available, scalable, secure systems for a global gaming platform. Responsibilities include defining reliability objectives, leading incident response and postmortems, developing observability and alerting strategies, optimizing performance, automating operational tasks, supporting architecture reviews, and mentoring engineers. The role partners across engineering teams to implement SRE best practices and improve system resilience, scalability, and operational excellence.

Leads site reliability engineering for AWS cloud environments, building infrastructure and Infrastructure as Code capabilities. Develops automation, CI/CD pipelines, monitoring, alerting, dashboards, and Kubernetes platforms; manages IAM, patching, vulnerabilities, repositories, and incident response. Identifies performance and availability issues, conducts post-incident analysis, collaborates with delivery and platform teams, and mentors engineers.

Design, build, and operate cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, production readiness, and support for hybrid, edge, on-premises, and customer-controlled environments. The role improves platform reliability, reduces operational toil, and enables safe, consistent delivery for mission-critical customers.

The Site Reliability Engineer will manage infrastructure stability and scalability, lead cloud migrations, and optimize performance across systems while mentoring team members.

Owns the reliability of cloud private networking, firewall, and IPSec Gateway services across a global fleet. Responsibilities include phased deployments, Linux networking operations, packet-level troubleshooting, automation with Python or Shell, configuration management, monitoring with Prometheus and Grafana, alerting, runbook maintenance, incident response, SLO improvement, and technical readiness reviews.

Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.

Own production stability, observability, incident response, and system health for a mission-critical GCP platform. Diagnose distributed-system issues, perform root cause analysis, implement Python fixes, and improve reliability through monitoring, automation, runbooks, and infrastructure management. Lead an L2+ support squad, mentor team members, and partner with Product, Engineering, and QA on operational risk, releases, and technical roadmap decisions.

Operate and improve PlayerZero’s AWS production infrastructure and distributed data systems. Automate operational workflows, strengthen monitoring and instrumentation, respond to incidents, and improve deployment safety, security, performance, and resilience. The role includes infrastructure as code, CI/CD, patching, vulnerability remediation, capacity planning, runbook development, and collaboration with platform and application engineering teams.

Build and deploy AI/ML tools for GeForce NOW SRE operations, transforming production data, metrics, logs, and signals into incident root-cause analysis and operational forecasts. Lead LLM- and agent-based systems, develop large-scale data pipelines, optimize LLM workflows, and recommend sustainable AI platforms and architectures. The role also involves automation, Kubernetes, AWS cloud environments, monitoring, visualization, and production SRE practices.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish tooling, failure diagnosis, observability, incident response, and automated repair. The role supports NVL72 systems, BlueField DPUs, Linux, Kubernetes, and cloud or on-premises environments while coordinating across hardware, networking, platform, data center, and partner teams.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, reliability engineering, incident response, and automated repair. The role works across hardware, networking, Linux, Kubernetes, data center operations, and partner teams to safely bring GPU capacity into production.

Leads organization-wide SRE strategy and builds reliable, scalable AWS and Kubernetes infrastructure. Establishes SLOs, observability, incident response, disaster recovery, and cost optimization practices. Develops AI gateways with governance and security controls, internal developer platforms, CI/CD tooling, and automation to reduce toil. Partners across engineering, mentors SREs, influences technical direction, and leads complex infrastructure initiatives.

Own reliability and observability for globally distributed software systems. Manage cloud platforms, Kubernetes, Terraform infrastructure, CI/CD, monitoring, alerting, and observability tooling. Respond to critical incidents, participate in on-call rotations, secure cloud infrastructure, automate operational tasks, scale databases, and help engineering teams adopt reliable DevOps and GitOps practices.

Own the reliability, security, and delivery of a production cloud platform. Responsibilities include improving infrastructure and deployment processes, managing service-level objectives, incident response, observability, disaster recovery, Kubernetes on AWS, GitOps delivery, compliance evidence, and infrastructure security. The role identifies gaps, develops remediation plans, and drives measurable improvements in uptime and deployment speed.

Lead the evolution of the Password Safe platform and infrastructure across cloud and on-premises environments. Design highly available systems, optimize platform services, standardize CI/CD and infrastructure-as-code practices, and establish GitOps workflows. Build observability, SLOs, chaos engineering, and disaster recovery capabilities. Serve as a technical leader by defining SRE strategy, mentoring engineers, conducting design and incident reviews, and influencing the engineering roadmap.