Work alongside some of the sharpest engineers in the risk management space, on problems that actually matter, with the latest technology.
Ship real products, develop instincts, and do it inside a team that treats AI-native development not as a buzzword, but as a genuine competitive edge.
Solve problems at the intersection of identity, trust, and compliance — a domain where the technical and real-world stakes are both high.
Design, build, and deploy features across our Java and Python stack — end-to-end ownership from implementation through deployment and observability.
Write well-tested, production-grade code and learn what 'quality at scale' actually looks like in practice.

3+ years of professional software engineering experience with real production exposure.
Solid foundation in Java and/or Python — you understand the language well enough to be honest about where your gaps are.
Curiosity about and some hands-on experience with AI development tools (Copilot, Cursor, Claude, or similar) — even if you're still building the habit, you're genuinely interested in going deeper.
A growth mindset: you take feedback well, ask good questions, and don't need everything figured out before you start.
Strong written and verbal English communication — the team is distributed and async clarity matters.
Exposure to LLM-based features in production (prompt design, retrieval, evaluation, fallbacks).
Familiarity with cloud-native infrastructure (AWS, GCP, or Azure), microservices, or API design.
Experience in startup or fast-moving product environments.
Interest in identity, privacy, or compliance domains.
Experience with Scala

Senior Software Engineer

Key skills