Systems Engineer
- Accepting Applications Closed
- US Company | Micro (1-10 employees)
- LATAM (100% remote)
- 4+ years
- Long-term (40h)
- Artificial Intelligence / Machine Learning
- Full Remote
Required skills
- Python
- Rust
- C++
- distributed systems
- Blockchain
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
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