Software Engineer in Test

Roadie is seeking a Software Engineer in Test to join our talented team of developers. In this role, you’ll advance our data science testing and automation capabilities, tackle complex challenges across the software delivery pipeline, and help ensure our data products, models, and insights are accurate, reliable, and ready to scale.

What You’ll Do

• Build robust test infrastructure that powers automated regression testing for data science microservices 
• Troubleshoot and resolve automation issues across multiple environments
• Improve the performance, reliability, and stability of automated test suites
• Develop and execute comprehensive test strategies and high-impact test cases
• Review product requirements to ensure alignment with established design and quality guidelines
• Partner with software engineers and fellow test engineers to conduct end-to-end system testing and post-deployment validation
• Identify, isolate, and clearly document product defects, then verify fixes through resolution
• Champion quality at every stage of the software development lifecycle

What You Bring

• 3+ years experience in a developer, SDET or QA automation role
• 3+ years coding experience in Python preferred; coding/scripting in other languages such as Ruby, Bash or Javascript, a plus!
• Experience with testing APIs and DBs
• Experience in testing frameworks - Pytest preferred
• Experience with monitoring tools like grafana, NewRelic or similar
• Experience in CI/CD tools such as CircleCI, github action or similar
• Be able to write and analyze SQL queries
• Experience with cloud solutions such as AWS
• Experience with tools such as github, JIRA, postman
• Demonstrated background of writing clean, stable, maintainable code
• Strong understanding of testing methodologies and automated testing approaches
• Excellent troubleshooting and communication skills
• Thrives in fast-paced environment, with ability to operate within short release-cycles

Bonus

• Familiarity with performance testing and related tools 
• Familiarity with Data Science concepts 
• Experience with testing  ML models
• Experience with Kafka, groundcover, Sentry, MLFlow
• Understanding of the full application development lifecycle