Top Reliability Engineer Jobs in San Francisco, CA

Design, scale, monitor, and optimize production PostgreSQL databases supporting Huntress’s security platform. Responsibilities include configuration tuning, capacity planning, observability, indexing, partitioning, replication, failover, backup and recovery, Azure optimization, and advising application teams on database design. The role requires deep expertise managing large, high-transaction PostgreSQL clusters in 24/7 environments, with bonus experience in NoSQL systems and infrastructure as code.

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.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Own and evolve AWS infrastructure, Kubernetes, Terraform, CI/CD, developer tooling, observability, security defaults, backup recovery, and incident response. Build reliable automation and self-service workflows, establish SLOs and actionable alerting, support engineers across environments, lead platform initiatives, improve security and reliability practices, and mentor engineers serving millions of users.

Supports reliability, maintainability, availability, and testability for mission-critical airborne communications and avionics systems. Performs reliability predictions, FMECA, MTBF analysis, root cause investigations, reliability growth assessments, maintainability evaluations, and lifecycle sustainment planning. The role supports aircraft modification, integration, qualification, flight testing, system safety, supplier assessments, corrective actions, and reliability dashboards while coordinating with engineering, logistics, safety, software, testing, and configuration management teams.

Own production reliability for a Kubernetes-native GPU inference platform. Responsibilities include operating provisioning and host-lifecycle state machines, troubleshooting GPU, CUDA, InfiniBand, and RDMA failures, extending automated remediation, managing SLOs and error budgets, leading incident response, improving observability and inference efficiency, and partnering with ML platform and product teams to build reliable self-healing infrastructure.

Own platform reliability, security, and operations for a regulated AI platform. Define SLOs and error budgets, build multi-region disaster recovery, manage AWS and Kubernetes infrastructure through GitOps and infrastructure-as-code, improve observability and incident response, and establish secure software delivery practices. The role also owns SOC 2 and regulatory infrastructure evidence, AI-specific security guardrails, supply-chain controls, and automation enabling a small senior engineering team to operate confidently.

Lead reliability, availability, and serviceability validation for GPU server platforms in orbit. Develop fault-injection strategies, verify detection and recovery, analyze failures across GPU, CPU, memory, interconnect, firmware, and operating-system layers, and validate BMC management interfaces. Drive root-cause analysis, coverage metrics, traceability, and resolution with silicon vendors, ODMs, and internal platform teams.

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.

Designs, administers, and improves highly available PostgreSQL database platforms across AWS and GCP. Responsibilities include database architecture, performance tuning, replication, backups, disaster recovery, production incident response, Kubernetes operations, infrastructure as code with Terraform, and GitOps automation. The role also supports Kafka, ETL, CDC, monitoring, compliance audits, and resilient cloud-native database deployments.

Manage and improve cloud-based database infrastructure supporting a mission-critical SaaS platform. Responsibilities include database observability, performance tuning, troubleshooting, migrations, schema improvements, high availability, disaster recovery, incident response, and root-cause analysis across SQL Server and PostgreSQL. The role also automates operational processes, standardizes configurations and deployments, supports Engineering and SRE teams, and manages database tickets and maintenance activities.

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.

Own production reliability for a Kubernetes-native control plane provisioning and operating GPU inference fleets. Responsibilities include managing host lifecycle state machines, troubleshooting GPU, CUDA, InfiniBand, RDMA, and model-serving failures, extending automated remediation, owning SLOs and error budgets, leading incident response, improving inference performance and efficiency, and partnering across infrastructure, ML platform, research, and product teams.

Own reliability engineering for advanced IT hardware from PCB assemblies through integrated racks. Define reliability requirements, qualification plans, accelerated and environmental tests, failure-analysis processes, and corrective-action verification. Analyze life-test and field data using reliability models, assess suppliers and manufacturing processes, validate serviceability, and present release-readiness recommendations. Collaborate with electrical, mechanical, thermal, manufacturing, quality, supplier, laboratory, and data center teams to improve hardware durability, availability, and service life.

Operate and maintain large Kubernetes clusters across data centers and public clouds. Troubleshoot infrastructure, networking, storage, DNS, and control-plane issues; participate in on-call incident response; perform upgrades and capacity changes; build monitoring dashboards and alerts; automate repetitive work with Go or Python; maintain documentation and use AI tools to improve engineering workflows.

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.

Own the reliability, scalability, and evolution of Zapier’s database and caching infrastructure. Responsibilities include operating MySQL, PostgreSQL, Redis, and ElastiCache; managing infrastructure with Terraform; building observability, automation, SLOs, and golden paths; participating in on-call; supporting product teams; improving performance and resilience; leading design reviews; documenting practices; and mentoring engineers.

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.

Leads reliability and maintainability activities across unmanned aircraft product lifecycles. Develops R&M architectures, reliability predictions, FMEA/FMECA, fault trees, reliability block diagrams, FRACAS processes, test plans, and reliability growth programs. Conducts failure investigations, corrective actions, maintenance analyses, and R&M risk mitigation. Presents analyses and compliance status to customers during milestone and design reviews, while ensuring adherence to defense reliability standards.

Provide technical support for customers implementing Soracom’s IoT platform. Investigate and resolve issues with engineers and AI, deliver accurate customer-facing responses, maintain documentation and knowledge bases, and relay customer feedback into product improvements. The role requires networking, cloud, Linux, CLI, AI evaluation, and strong communication skills in a fully remote, multicultural environment aligned with Mountain or Pacific time zones.

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.

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.

Provides lubrication, reliability, applications engineering, and technical sales support for wind turbine systems. Advises customers and sales teams on gearboxes, hydraulics, greases, drivetrain components, and lubricant applications; supports troubleshooting, installations, field trials, product development, and process improvements. Manages technical reports, customer relationships, and industry events while collaborating across engineering, sales, operations, and product teams. Requires approximately 50% domestic and international travel, customer-site safety compliance, and potential wind turbine climbing.

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

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.