Top Reliability Engineer Jobs in San Francisco, CA

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.

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.

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.

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.

Lead reliability engineering for iron-air battery packs and deployed systems. Define reliability requirements, develop validation roadmaps, design accelerated lifetime tests, investigate failure mechanisms, determine root causes, and improve component and subsystem lifetimes. Serve as the Design for Reliability authority for electro-mechanical plant subsystems, lead DFMEAs, mentor peers, collaborate cross-functionally, and champion safety.

Own reliability and scaling for the Agentforce Operations platform. Responsibilities include reliability roadmaps, infrastructure-as-code, AI/ML infrastructure operations, observability, incident prevention, performance engineering, SQL optimization, API latency reduction, and distributed-systems troubleshooting. The role requires production-level coding, cloud and Kubernetes expertise, SLO-based monitoring, autonomous ownership, and collaboration with senior technical leaders to harden systems for global enterprise scale.

Lead reliability engineering for battery pack and plant subsystems, focusing on electronics and electromechanical systems. Define reliability requirements, develop validation roadmaps, design accelerated lifetime tests, investigate failure mechanisms, determine root causes, and guide DFMEAs. Provide technical leadership, mentor peers, collaborate cross-functionally, and champion safety.

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.

Lead hardware test and reliability efforts for autonomous drones: define and execute validation strategies from prototype to production, perform failure analysis, drive corrective actions, contribute design-for-reliability, and use telemetry and data (Python/SQL/AI) to develop prognostics and reliability specs.

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.

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.

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.

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.

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.

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.

The Reliability Engineer develops reliability, availability, and maintainability strategies for defense systems and equipment. Responsibilities include supportability analysis, risk assessment, asset criticality ranking, failure and performance analysis, reliability metrics monitoring, root cause analysis, FMEA, fault-tree analysis, mitigation planning, maintenance optimization, and participation in design reviews. The role supports U.S. Department of Defense customers and requires collaboration with maintenance, operations, and engineering teams.

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.