Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
About the Role
We are seeking a Staff Software Engineer to lead the technical direction of our Margin & Risk team, part of Prime Engine. The team builds the systems that protect Alpaca, our partners, and their customers from financial exposure across every asset class the platform supports — equities, options, and crypto today, and new asset classes as the platform expands.
These systems calculate margin requirements, enforce real-time risk and exposure limits, manage margin calls through their full lifecycle, and automate operational workflows that were historically manual or split across fragmented services. This role is expected to work across those asset classes, not own a single product line: portfolio and intraday margin, options risk, crypto risk controls, and the margin models for new products as they come online. Exposure is often cross-asset, so the architecture has to treat a customer's risk as one picture.
This is a high-consequence domain. A defect can cause financial loss, incorrectly restrict a customer's trading, or create regulatory exposure. Latency matters, and correctness matters more. We are looking for an engineer who has owned systems like this before — including what happens when they fail — and who has built that kind of system, not only operated one someone else designed.
