Software Engineer, Infrastructure

About This RoleAI processing…

Key Responsibilities

• 1
  Improve how the team learns and ships. Form hypotheses, instrument your work, release incrementally, and read results honestly. Strengthen the tooling, standards, tests, observability, and release practices that help the team move quickly without compromising quality.
• 2
  You will contribute to how models are trained and served here, as well as how agents work inside our codebase: the environments they run in, the verification that makes their output trustworthy, and the review paths that keep it all legible.
• 3
  Strengthen the tooling, standards, tests, observability, and release practices that help the team move quickly without compromising quality.

Requirements

• You have 8+ years building and operating production distributed systems, or equivalent server-side engineering with a heavy infrastructure focus.
• GPU and ML infrastructure: capacity planning, training or inference pipelines, serving cost and latency. If you haven't run a GPU fleet, experience with expensive capacity-constrained systems transfers well.
• Production security engineering: IAM, secrets, supply chain, least privilege. You don't need to have held a security title, but you should have owned these boundaries for systems you ran.
• What you bring Required: You have 8+ years building and operating production distributed systems, or equivalent server-side engineering with a heavy infrastructure focus.
• If you haven't run a GPU fleet, experience with expensive capacity-constrained systems transfers well.
• You don't need to have held a security title, but you should have owned these boundaries for systems you ran.
• Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and level, and may vary from the amount above.

Perks & Benefits