Build the systems
that make the market.

Pelagic Trading is a specialist quantitative market-making firm focused on sports event contracts on Kalshi. We quote thousands of markets across major U.S. sports, providing the liquidity that keeps prices reflective of real-world probabilities. Our edge comes from proprietary pricing models built on sport-specific fundamentals, disciplined position management, and a willingness to make markets where others won't.

We are small, senior, and software-led. The engineering we do is the firm — quality of execution, not headcount, is how we win.

• Real-time pricing and market-state UIs that traders rely on during live events
• Order-management logic between our pricing models and Kalshi's API
• Risk dashboards — positions, exposure, correlated-event limits
• Market-data ingestion, storage, and backtesting infrastructure
• Internal tooling for quants to iterate on models quickly

• You've shipped full-stack software in production — real systems people depended on
• Strong React + TypeScript; comfortable backend in Node or Python
• You understand real-time data, WebSockets, and low-latency UI patterns
• You write code that's clean because you care, not because someone told you to
• You're comfortable with ambiguity and high ownership

• Prior work at a prop firm, hedge fund, or trading-tech company
• Experience with Kalshi, prediction markets, sportsbooks, or similar
• Time-series databases, PostgreSQL at scale, market-data plumbing
• AWS/GCP, Docker, infra-as-code

• Base salary of $145,000–$185,000, depending on experience
• Target annual bonus of 15–25% of base — individual and firm performance
• A firm-performance bonus on top, tied directly to Pelagic's P&L
• Meaningful equity — first-engineer stake in Pelagic's upside. Details at offer.
• Medical, dental, vision; 401(k) with match; flexible PTO
• $5,000 home-office setup stipend and $1,000/yr recurring
• $2,000/yr learning & development budget
• Fully remote in the United States
• A small team. Real ownership. Intellectual honesty. Room to fail.