Software Engineer in Test - Infrastructure
About Snorkel
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.
What You’ll Do
- 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
What We’re Looking For
- 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
Why Snorkel AI
- Work at the forefront of AI development and evaluation
- Collaborate with top AI labs and innovative enterprise teams
- Build systems that directly impact how cutting-edge AI is developed and deployed
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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