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AlpacaAlpacaUnited States

Senior Software Engineer

Build and architect Alpaca's algorithmic trading platform, focusing on high-performance, low-latency systems for OMS, RMS, and exchange integrations. Requires deep experience with trading systems and expertise across languages from C/C++ to Python, distributed systems, and concurrency.

Salary not listed
Remote7+ YOEFullstack Engineering

About the role

Responsibilities

  • Build Alpaca's algo trading platform to deliver high quality and performance for users.
  • Design and architect the platform, wearing many hats in a small team.
  • Write significant amounts of code and make critical decisions to deliver the best customer experience.
  • Work on low to high level aspects including CPU-level hardware for high throughput, robust concurrency system design, distributed system architecture for high availability, and object-oriented data modeling for long-term growth.

Requirements

  • Previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).
  • Strong, experienced software engineer (lead experience preferred).
  • Coding skills in low and high level languages: C/C++, Go, Zig, Rust, Java, Scala, Python.
  • Experience with low latency and high throughput optimization.
  • Experience with messaging queues and message brokers.
  • Analytical data-oriented mindset and skills.
  • Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems, and concurrency control.
  • System design skills including object-oriented data modeling, service-oriented architectures, and system abstraction.
  • Experience with the development and implementation of Order Management Systems (OMS) and Risk Management Systems (RMS).

Nice-to-Haves

  • Algo trading experience (professional or personal).
  • FIX protocol knowledge.
  • Experience with observability, tracing, continuous profiling, and benchmarking.
  • Financial market knowledge (exchange, broker-dealers, clearing, etc.).
  • Experience with financial ledgers.
  • Statistical and quantitative analysis skills.
  • Experience with major cloud platforms (primarily GCP).
  • Experience with Docker and Kubernetes.

Compensation

  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Skills

c/c++GozigRustJavaScalaPythonlow latency optimizationhigh throughputmessaging queuesDistributed Systemsconcurrency controlomsrmsfix protocol

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