Working closely with ML, engineering and product teams to isolate and resolve issues, including troubleshooting of customer issues. MS or BS in a relevant field - e.g., Software Engineering, Computer Engineering, Computer Sci-ence, Information Technology.
Numbers & Facts
Location
San Francisco, California
Description
Responsibilities
Developing and hardening our quality pipeline
Breaking down stories into testable components
Developing and executing test plans
Expanding our test automation environment
Requirements
MS or BS in a relevant field - e.g., Software Engineering, Computer Engineering, Computer Sci-ence, Information Technology
6+ years professional QA experience with healthcare or AI platforms
Using and/or implementing an ISO 13485 Quality Management System
Planning and testing new feature deployments in an Agile environment
Experience creating and organizing test plan documentation and results
Experience testing of software (front-end and back-end) and ML system components
Experience designing and implementing test automation environments
Working closely with ML, engineering and product teams to isolate and resolve issues, including troubleshooting of customer issues
Experience using Kubernetes and Docker in a cloud, preferably AWS, environment
Experience with event driven architectures and ML pipelines is a plus
Experience in Technical Product Management and Agile processes
Some of the tools we are (and you will be) working with: