Software Engineer, Infrastructure

Responsibilities

• Own the platform foundation, including Google Cloud, Kubernetes, Temporal, GPU infrastructure, deployment, and rollback systems.
• Participate in the on-call rotation and improve incident response, reliability, and actionability.
• Build and operate AI infrastructure for GPU capacity, model training and inference pipelines, and production serving.
• Manage infrastructure cost modeling, metering, attribution, and cost-performance trade-offs.
• Own security boundaries including identity and access management, secrets, least privilege, and software supply-chain integrity.
• Develop infrastructure-as-code, runbooks, observability, tests, standards, and release practices.
• Partner with engineering teams to understand needs, set the platform roadmap, and make architecture decisions.
• Provide architectural direction, code reviews, mentoring, and clear technical documentation.

Requirements

• 8+ years building and operating production distributed systems or server-side systems with a strong infrastructure focus.
• Experience operating production systems where reliability and failure consequences matter.
• Experience carrying a pager, commanding incidents, and performing rollbacks.
• Practical use of SLOs and error budgets.
• Production experience with a major cloud provider, Kubernetes, and infrastructure-as-code.
• Experience owning an architecture or migration from planning through launch.
• Ability to independently identify, scope, gain support for, and deliver unowned work.
• Strong debugging skills, including creating minimal reproductions, analyzing logs, and writing targeted checks.
• Ability to use AI agents effectively and critically in engineering work.

Nice-to-haves

• GPU and machine-learning infrastructure, including capacity planning, training or inference pipelines, and model-serving cost and latency optimization.
• Production security engineering, including IAM, secrets management, software supply-chain security, and least privilege.
• Cloud cost modeling, commitment strategies, reservations, and unit economics.
• CI/CD at monorepo scale and developer-environment tooling.
• Media, video, or GPU-backed workload experience.
• Experience on small teams responsible for broad infrastructure surfaces.

Compensation and Benefits

• Base salary: $220,000–$292,000, plus equity and benefits.
• Healthcare package, 401(k) matching, catered lunches, and flexible vacation time.