<p>Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.</p><p>Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. Our open-source engine, Soda Core, is used by companies like Tesla, Slack, Adyen, Walmart, and JPMC. The category is growing fast because AI doesn't work on bad data, and we're hiring a&nbsp;<strong>Senior Full-Stack Engineer</strong>&nbsp;to build the platform that catches data problems before they become business problems.</p><h3>About Us</h3><p>Soda's mission is to monitor the world's decisions. We're building the first Data &amp; AI performance monitoring platform that spans data collection to automated decision-making. Soda helps customers find, understand, and fix data quality issues by combining automated post-production monitoring with pre-production pipeline data testing.</p><p>Soda was founded in 2019 by Maarten (employee #5 at Collibra) and Tom (creator of multiple open-source projects generating hundreds of millions in value). We commercialize through Soda Cloud and we're well-funded, with investors like Point 9 Capital, Hummingbird, Singular, and Eurazeo.</p><h3>The Role</h3><p>You'll work across our entire stack: Java backend services and the TypeScript/Angular frontend that power Soda Cloud. We're product engineers, not ticket-takers: you'll own features end-to-end, talk to users, shape the design with your PM, and ship from database to UI without waiting for hand-offs. We also build agentically: AI coding agents are part of the daily workflow here, not an experiment on the side.</p><h3>What You'll Do</h3><ul><li>Build features end-to-end: backend APIs, database changes, frontend UI, and ship them to production yourself.</li><li>Design and implement backend services for a multi-tenant SaaS platform.</li><li>Work with relational databases (MySQL): schema design, query optimization, data modeling.</li><li>Build frontend features that are clean, fast, and don't get in the way.</li><li>Optimize performance across the stack and write tests at every layer (unit, integration, e2e).</li><li>Build agentic features into the product: LLM-powered workflows that help users find, understand, and fix data issues.</li><li>Improve our systems for agentic development: agent instructions, skills, and the test feedback loops that make agents effective across the codebase.</li><li>Work directly with product, design, and customers to decide what to build. Your opinion matters here.</li></ul><h3>Hiring Process</h3><ol><li>CV screen</li><li>20-minute phone screen</li><li>First technical interview (45 min)</li><li>Second technical interview (60 min)</li><li>Culture fit (45 min)</li></ol><p>We answer every application, and every candidate hears back within 3–5 days of each step. If it's not a hell yes, it's a no, and we'll tell you quickly and kindly.</p><p><strong>Requirements</strong></p><h3>You Should Have</h3><ul><li><strong>5+ years buil