Software Engineer

You will ship features in UNION and in the applications teams run their processes on, working across the stack: TypeScript with React and Next.js in the browser, Python services running on Kubernetes, and the queries and data models underneath Some of it is AI-facing, like the natural language interfaces and agents people use to ask questions against governed data You will take one scoped piece at a time and carry it to production yourself, tests and post-release fixes included, working next to a senior engineer who owns the wider area. The people using it work here, so you will hear from them directly and see your work change how they work within a week or two Qualifications 2+ years building production software, or equivalent depth from internships and substantial projects Working proficiency in a backend language, Python preferred, and in JavaScript or TypeScript Familiar with version control, code review, automated testing, and CI/CD Experience building or consuming HTTP APIs in something that ran in production Some exposure to AI and LLM development, such as prompting, retrieval, tool calling, or agents Experience building web frontends with a modern framework such as React or Next.js Working SQL, including writing and debugging joins and aggregations against a relational database Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk You want to understand the process you are building for, not just the ticket that describes it When you build an AI feature, you want a way to tell whether it is wrong before a user finds it You want the people using your software to be people you know by name, and you take it personally when it gets in their way You want a piece of the product that is yours to own end to end, from the first conversation with a user to the thing running in production You work well at speed. Priorities here move with the business, and the problems worth solving tend to arrive on short notice Exposure to data platforms and analytical databases such as Spark, StarRocks, Snowflake, or BigQuery Experience with containers and deployment tooling such as Docker, Helm, or Kubernetes Experience building AI-native features such as text-to-SQL interfaces, copilots, or insight generation Experience building internal tools that other people relied on day to day #J-18808-Ljbffr