Baseten
Software Engineer - Testing Frameworks
About this role
Baseten is hiring a Software Engineer to own the company's testing infrastructure and frameworks. You'll build the full testing stack—from unit test tooling to chaos engineering—that enables all engineers to ship mission-critical AI inference systems with confidence.
What you'll do
- Own testing strategy end-to-end and define standards, tiers, and tooling for the engineering organization
- Build and maintain unit, integration, load, and performance testing frameworks
- Design test infrastructure that provisions realistic environments on demand using Kubernetes and containerization
- Develop resilience and chaos testing capabilities including fault injection and failure scenario simulation
- Reduce test flakiness through detection, quarantine, impact analysis, and parallelization
- Build observability into testing with coverage reporting, dashboards, and failure triage tools
What they're looking for
- Go and/or Python proficiency with test tooling experience
- Testing frameworks (pytest, Go testing package, testify, testcontainers)
- Integration test infrastructure design for distributed systems
- Load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling)
- Kubernetes and Docker fundamentals
- CI/CD pipeline optimization and management at scale
- Chaos engineering and resilience testing
- Test culture and quality standards development
Benefits
- Competitive compensation with meaningful equity
- 100% medical, dental, and vision insurance coverage for employee and dependents
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Baseten
Baseten builds an AI inference platform that enables companies to deploy and manage machine learning models in production at scale. The company is hiring software engineers, infrastructure specialists, and product engineers to develop observability systems, frontend experiences, reliability infrastructure, developer tools, and enterprise deployment solutions.
- Website
- baseten.com
Likely interview questions
- Tell us about a time you designed test infrastructure from scratch—what was the hardest problem you solved and how did you approach it?
- How do you balance the trade-off between test coverage and CI/CD speed when dealing with a large, complex test suite?