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.
Requirements
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
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Java
Microservices
Python
Scala
Benefits
Competitive pay package, including base pay and stock options