Senior Software Engineer

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Alpaca

πŸ“Remote - United States

Summary

Join Alpaca, a rapidly growing FinTech brokerage infrastructure technology company, and build our algo trading platform. We're looking for an experienced software engineer with a strong background in trading systems and a passion for high-performance, low-latency applications. You'll be a key contributor to designing and architecting our platform, working with a variety of technologies and making critical decisions about delivering the best customer experience. This is an opportunity to join a dynamic startup and make a significant impact on the future of financial services. We offer competitive salaries, stock options, and comprehensive benefits, including health insurance starting on day one and a generous home office setup stipend.

Requirements

  • Have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading)
  • Be a strong, experienced software engineer with lead experience
  • Possess coding skills in both low and high-level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
  • Have experience with low latency and high throughput optimization
  • Have experience with messaging queues and message brokers
  • Possess analytical data-oriented mindset and skills
  • Have knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
  • Possess system design skills with object-oriented data modeling, service-oriented architectures, system abstraction
  • Have experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)

Responsibilities

  • Build Alpaca's algo trading platform to satisfy users who expect high quality and performance from their brokerage service
  • Design and architect the platform
  • Write code
  • Make critical decisions about delivering the best experience to customers

Preferred Qualifications

  • Have algo trading experience (either professional or personal)
  • Have FIX protocol knowledge
  • Have experience with observability, tracing, continuous profiling and benchmarking
  • Have financial market (exchange, broker-dealers, clearing, etc.) knowledge
  • Have experience with financial ledgers
  • Possess statistical and quantitative analysis skills
  • Have experience with major cloud platforms (we primarily use GCP)
  • Have experience with Docker and Kubernetes

Benefits

  • Competitive Salary & Stock Options
  • Health benefits start on day 1. In the US this includes Medical, Dental, Vision. In Canada, this includes supplemental health care. Internationally, this includes a stipend value to offset medical costs
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

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