service-level-objectives jobs in San Diego

Sr. Site Reliability Engineer responsible for building and improving observability infrastructure, monitoring systems, and reliability patterns across AppFolio's Real Estate Platform.…See more You'll work with engineering teams to implement SLIs/SLOs, diagnose performance issues across the full stack, and manage infrastructure-as-code deployments on Kubernetes and AWS. Strong coding skills (Go, Ruby, or Python) and 5+ years of industry experience required; you'll be on-call and expected to help teams become self-sufficient in reliability practices.

Lead a team of cloud engineers building the backend platform that powers Brain Corp's global fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture as it scales to support fleet operations and customer-facing applications.…See more Balance hands-on technical leadership with people management—mentor engineers, drive hiring and onboarding, own production reliability and incident response, and partner with principal/staff engineers on distributed-systems architecture. Navigate tradeoffs between performance, cost, reliability, and scalability while shipping features that robots in the field depend on.

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability.…See more Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

Design and own cloud infrastructure foundations, core platform services, and observability systems that enable reliable deployment across customer environments (on-premise, cloud, or hybrid). Build production-grade Kubernetes infrastructure, internal APIs, deployment pipelines, and monitoring/alerting layers using infrastructure-as-code.…See more Instrument service-level objectives and health signals to ensure measurable reliability and reproducible, secure deployments across all environments.