AI Augmented Software Engineer [gn] Data Intelligence Platform

• A proven track record of using AI coding assistants — tools like Claude Code or Cursor — and the discipline to know when they help and when they mislead.
• Experience developing features for data governance, data catalogs or metadata management platforms in production is a big plus.
• Proven experience as a fullstack engineer building and shipping features in production SaaS environments. You have end-to-end ownership in your track record, not just task execution.
• Strong practical knowledge of our core stack is a big plus: Scala or Java on the backend, TypeScript and Angular on the frontend. You do not need to be expert in all of them, but you need to be honest about where you are strong and genuinely willing to grow in the others.
• Solid understanding of SaaS architecture and cloud fundamentals, particularly on AWS. Comfortable with Docker, Kubernetes, GitHub workflows, and CI/CD pipelines.
• A genuine agile mindset — not a process checkbox, but an actual preference for short feedback loops, iterative delivery, and collaborative problem-solving.
• Full professional proficiency in English.

What We Value

We value autonomy over process, outcomes over activity, and builders over theorists. If you need to be assigned every task, this is the wrong environment. If you thrive when given a problem, a team, and the space to figure it out — you will fit right in.