Quality Infrastructure Engineer

San Diego, CA /
QA Engineering /
Full-Time - Remote
Born from the needs of high-growth, data-driven companies, Mosaic fuels financial planning and business performance. The platform combines big data and machine learning to provide powerful predictive reporting capabilities, leveling the playing field and giving startups tools and insights previously reserved for large enterprises. 

Whether it’s better understanding your cash burn, forecasting spend scenarios or uncovering powerful business insights, Mosaic provides greater visibility into the most important dynamics of the business.

We’re looking for a Quality Infrastructure Engineer to help build our integration and analytics platform, someone who isn’t afraid to take on the challenges of building a new product. Make your mark and shape how our company technology stack is written, tested, monitored and delivered.


    • Design, architect, and develop our integrated test framework
    • Work directly with our business and engineering teams to identify key requirements and areas for testing
    • Inventory the entire application and lead the effort to prioritize test building across the team
    • Be an evangelist for quality across the entire organization and help infuse it into everything we do
    • Assist in developing standards and best practices for our team to use in the process of designing, developing, and deploying products with exceptionally high quality

Experience with the following is a Plus! (Not a Requirement)

    • BS in Math, Engineering, Computer Science or similar field5+ years experience in a technical quality engineering role
    • Deep expertise in at least on the core quality/testing frameworks such as Selenium, RSpec, Katalonm, Protractor
    • Some familiarity with statically typed Languages such as C# or Java (C# is preferred)
    • Experience connecting to web APIs and retrieving dataPrevious experience or ownership of the release process via common tools such as Jira, Git, BitBucket, AWS
    • Ability to design, explain, and understand complex systems in a clear fashion