Nitro is an AI-native data platform that democratizes life sciences data for non-technical commercial teams, turning fragmented HCP/HCO, prescription, and industry data into decisions the field can act on. We're looking for a QA Engineer to drive quality for the platform and help modernize how we test it. Here, testing isn't a gate bolted onto the end of shipping, it's part of the same function as building and deploying. You'll own your share of that full chain. This is a junior role for someone who wants to build a real career in QA and automation. You'll start hands-on with day-to-day testing and grow into broader ownership of our test automation as you develop. We're investing in making our testing environment more AI-forward, and you'll have real room to shape and extend that work, not just maintain what exists. The function itself is evolving, too: our Operations org is moving from traditional QA toward evaluating AI-native systems, and this role is your entry point into where that's headed.
This role is hosted on Veeva Systems's own careers site. You will complete your application there.
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