Hiring: Senior / Staff Software Engineer, Backend (Picks - DFS & Prediction Markets) Company: Sleeper Location: New York City Metropolitan Area Job Posted Time: 2026-09-16 13:31:09 Employment Type: Contract / Hybrid Target Skills & Keywords : Elixir, Java, Node.js, Python, Rust, User Experience About the job Experience: •5+ years of backend engineering. For Staff, 8+ years and a track record of owning the architecture of systems at this scale. Required Skills: •, where users pick player stat lines over or under a projection, and prediction markets •, where they take positions on game and team outcomes at prices that move right up to the whistle. •You'll own systems and features end to end: the data model, the service behind it, and the API contract with our mobile and web teams, working directly with designers. Engineers make product decisions here, not just implement them. •Build and own core Picks systems end to end — contest and entry lifecycle, pricing and market data, settlement and grading, wallet and ledger, eligibility and compliance. •Make real money correct: reconciliation, auditability, and settlement logic that is right the first time. •Handle real-time at scale: continuously moving prices and positions, entry surges before games start, and settlement across every game on the slate. •Partner with our risk and trading team on exposure management and the internal tooling they need. •Integrate with third-party projection, market, and payments providers, and design for their failures as well as ours. Qualifications: •You've built and operated consumer products with millions of users, and you understand what your code does in production at that scale. •You've shipped features end to end — not only infrastructure. •You've worked on systems where being wrong costs money — payments, trading, marketplaces, ledgers, or real-money gaming — or you can show the same rigor from somewhere else. •Deep in distributed systems: data modeling, caching, queues, and the correctness questions that come with real-time updates and concurrent writes. •Strong in at least one backend language — Elixir, Go, Java, Python, Rust, Node, or similar. •You can go deep on your own work: what you decided, what you'd do differently, and where your contribution ended and the team's began. •You're a sports fan. Best case, you play DFS, use a sportsbook, or trade prediction markets — and you have opinions about how they should work. •Based in the San Francisco Bay Area or New York City, working hybrid. •Massive Impact – Your work will touch millions of users and help shape the next generation of sports entertainment. •High Ownership – We trust our engineers to make high-leverage decisions and drive meaningful outcomes. Compensation: •$180,000 - $300,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!