Software Engineer, Infrastructure
Core
Building the foundational platform for compute, deployment, reliability, CI/CD, and the infrastructure supporting AI model training and inference.
Role type
Senior Infrastructure Engineer (AI/ML focus)
Builds
GCP, Kubernetes, Temporal, GPU fleet, deployment/rollback machinery, and AI enablement substrate.
Domain
Cloud Infrastructure & AI/ML Systems
Deliverable
production ML models | infrastructure
Required skills
distributed systems, Kubernetes, infrastructure-as-code, SLOs, error budgets, incident command, architecture ownership, unowned work scoping, minimal reproducible fixes
Preferred skills
GPU/ML infrastructure, production security engineering, cloud cost modeling, monorepo CI/CD, video/GPU workloads
Technologies
GCP, Kubernetes, Temporal
Responsibilities
Own platform reliability and on-call rotation; manage GPU capacity and training/inference pipelines; optimize infrastructure costs; enforce security boundaries; create legible infrastructure-as-code and runbooks; improve team learning and release practices; provide architectural direction and mentoring.
Seniority
Senior, hands-on IC with architectural ownership
