Two tracks — tell us which one fits you
Product Engineering (fullstack, backend-leaning) Backend services, APIs, and the interfaces on top of them. Our stack leans Java/Spring Boot, React, PostgreSQL, Redis, Kafka, and AWS — but we don’t expect you to have used all of it. We expect you to have gone deep on something and to pick up the rest fast.
Data & ML Engineering Pipelines, models, and the systems that make them useful in production — risk scoring, fraud signals, spend intelligence. Python, SQL, and modern data tooling. Applied and in production, not just notebooks.
Who you are