Systems Engineer - Python, Blockchain
Strider
Software Engineering
Barbados · Mexico · Dominica · Dominican Republic · Haiti · Jamaica · South America · Central America · Cuba · Antigua and Barbuda · The Bahamas · Belize · Guyana · Grenada · St Kitts & Nevis · St Vincent and the Grenadines · Suriname · St Lucia · Trinidad and Tobago · Remote
Posted on Feb 18, 2026
Requirements
Must-haves
- 4+ years of software development experience
- Experience with Python and production backend languages (Rust, C++, etc.)
- Deep understanding of high-frequency trading, blockchain/crypto systems, and probability-driven trading strategies
- Proficiency with distributed systems, asynchronous execution, and high-performance database design
- Ability to work with trading infrastructure, including market connectivity, order management, and execution workflows
- Deep knowledge of cloud platforms, DevOps practices, and observability tooling for 24/7 system uptime
- Strong communication skills in both spoken and written English
Nice-to-haves
- Startup experience
- Ability to solve complex technical challenges from the ground up through first-principles thinking
- Interest in working within a small, fast-moving team where engineering decisions directly impact performance
- Bachelor’s Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
- Serve as the core architect for a newly established hedge fund trading platform
- Build an institutional-grade automated execution system from first principles
- Design a modular, venue-agnostic architecture that performs under volatility and fast liquidity changes
- Develop and own the full end-to-end trading engine with production-ready scalability and robustness
- Build real-time data and signal pipelines for order books, trades, and alternative data sources (news, social, etc.)
- Develop backtesting frameworks and portfolio construction logic adaptable across multiple asset classes
- Implement embedded risk controls, including position limits, exposure aggregation, kill-switch mechanisms, and drawdown protection
- Own infrastructure reliability through observability tooling, deployment automation, and CI/CD pipelines for rapid strategy iteration