Platform Engineer

Highlights

• Build systems that keep infrastructure robust, observable, secure and scalable.
• Ensure reliability and reproducibility of ML workloads in production.
• Lead incident response and postmortems focused on learning and prevention.

What they offer

• Comprehensive medical, dental, vision, and FSA plans
• 401(k) plan
• Relocation and immigration support on a case-by-case basis
• In-office snacks and meals provided
• Unlimited PTO and company holidays

Ideal candidate

A systems-minded builder who loves making other teams faster and safer through invisible, reliable infrastructure. You thrive in high-performance environments and care deeply about reliability, learning from incidents, and long-term maintainability.

Requirements

• Experience in high-performance compute environments, such as ML clusters or GPU farms and hyperscaler clouds (AWS, GCP)
• Background in infrastructure as code (Terraform, Ansible)
• Familiarity with containers (Docker, Apptainer) and schedulers (Kubernetes, Slurm)
• Experience managing run-books, DRP, change management, and fault tolerance
• Experience with deployment strategies at scale
• Experience designing reliable environments for experimental workloads and reproducible runs
• Knowledge of compliance and audit standards in deployment and system security
• Experience with load testing, fault injection, and chaos engineering
• Prior work supporting ML/AI infrastructure, including GPU management and workload optimization
• Exposure to backend development for ML model serving (vLLM, Ray, SGLang, Triton)