Software Engineer - Test

Snorkel AI
New York, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$200,000.0 - $230,000.0
Working hours
Regular working hours
Job source

Tech stack

Automation of Tests Continuous Integration DevOps Programming Tools Python (Programming Language) Test Execution Engine TypeScript Circleci

Job description

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

Requirements

  • 3-5 years experience scaling test frameworks, infrastructure and 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

About the company

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 since 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!

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:59 min

Aligning testing frameworks with team skills and feedback

Augustin Gottlieb Augustin Gottlieb · World Congress 2025

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Misconceptions about TypeScript safety capabilities

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Embedding automated vulnerability analysis within CircleCI workflows

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Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

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Shifting engineering focus to specifications and testing

Kamen Petroff Kamen Petroff · World Congress 2026 Europe

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Gaining TypeScript benefits using JSDoc alternatives

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