Site Reliability Engineer, Frontier Systems Infrastructure

Responsibilities

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management
• Build software abstractions that unify multiple clusters and present a seamless interface to training workloads
• Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale
• Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles
• Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure
• Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load
• Be expected to execute at the same level as a software engineer

Requirements

• Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments
• Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads
• Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations

Nice-to-haves

• Background with GPU workloads, firmware management, or high-performance computing

Qualifications

• Deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environments
• Strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation
• Comfortable with bare-metal Linux environments, GPU hardware, and large-scale networking
• Enjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual work
• Can balance careful engineering with the urgency of keeping mission-critical systems running