Software Engineer in Test - Infrastructure

Snorkel AIRedwood City, CA
2d$145,000 - $215,000

About The Position

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Software Engineer in Test who thrives in fast-moving, high-intensity environments and enjoys turning ambiguous problems into reliable, scalable systems. In this role, you’ll go beyond traditional QA—fine tuning test infrastructure, tooling, and processes that directly accelerate engineering velocity and product quality.

Requirements

  • 3-5 years experience scaling test frameworks, infrastructure, or developer tooling
  • Proficiency in TypeScript and/or Python
  • Experience with CI/CD systems such as CircleCI, Buildkite, or similar tools
  • Ability to operate in ambiguous environments and bring structure to complex problems
  • A systems mindset—you think in terms of reliability, scalability, and long-term maintainability
  • Actively uses AI-assisted development tools (e.g., copilots, code generation, debugging aids) to accelerate productivity and raise quality

Responsibilities

  • Refine and evolve testing infrastructure and tooling that enables engineers to ship high-quality features at scale
  • Design, implement, and maintain automated testing systems
  • Create internal tools that improve developer productivity and shorten iteration cycles
  • Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
  • Drive best practices in testing, observability, and release confidence across the engineering org
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