Mill · San Bruno, California
Software Quality Engineer role testing Mill's consumer web, mobile (iOS/Android), and enterprise software for food waste prevention technology. Small team working cross-functionally with software, hardware, and product teams using AI-assisted development tools. Stack includes React Native, AWS Lambda, TypeScript, Python, Java, pytest, Playwright, and Appium.
Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill’s residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry’s first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.
As a Software Quality Engineer, you will join a small team to own quality for the consumer and enterprise experiences our customers rely on: our website, our iOS and Android mobile apps, our e-commerce flows, and the enterprise software behind Mill Commercial. You will work cross-functionally with software, hardware, and product teams.
AI-assisted development is core to how we build software, not a peripheral tool. We expect daily fluency with tools like Claude Code, for example to write and maintain test automation, generate test cases from requirements, and triage failures. As a senior engineer, you will also help set the team's standards for using these tools well, including how AI-generated tests are reviewed.
The estimated base salary range for this position is $150K to $170k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.