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Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure serving hundreds of financial institutions across 40 countries. The company provides institutional-grade APIs for stocks, ETFs, options, crypto, fixed income, and 24/5 trading, supporting over 10 million brokerage accounts. Backed by $400M in funding from top-tier investors including Spark Capital and Y Combinator, Alpaca operates a globally distributed team of 400+ engineers and trading professionals.
The Market Data team is responsible for architecting and scaling Alpaca's data systems across stocks, options, crypto, and foreign exchange markets. You will influence the overall architecture of market data systems, design highly scalable mission-critical services, and obsess over latency optimization. Key responsibilities include implementing backend services, leading architecture decisions where scalability and resilience matter, maintaining software quality and test coverage, participating in code reviews, troubleshooting incidents, and potentially participating in on-call rotations for time-sensitive engineering projects.
You must have at least 4 years of experience building systems at scale, proficiency with compiled imperative languages (Go, C, C++, Rust), SQL/relational database skills, TCP/IP and UDP networking familiarity, and strong Linux/BSD and shell scripting abilities. Experience with Kubernetes (GKE), GCP, microservice architectures, and low-latency application development is essential. Nice-to-haves include market data experience, DevOps mindset, cloud networking (BGP, VPC peering), distributed key-value stores, CI/CD, observability/tracing, and capacity planning. A passion for financial markets is valued. The role offers the opportunity to work on developer-first APIs, overcome significant technical challenges, and contribute to a rapidly scaling fintech infrastructure platform.
