Senior Trading Systems Developer – Low-Latency Arbitrage Bot
15 hours ago
Job description
We are looking for an experienced developer to build a
production-grade trading system focused on
low-latency execution and clean, reliable architecture.
not promised and expectations will be defined clearly upfront.
The system will scan markets and execute
triangular, spatial, and statistical arbitrage strategies across multiple exchanges.
### Project Overview
- Real-time order book ingestion with sub-second latency
- Smart order routing and execution
- Ability to manage multiple simultaneous positions
- Slippage and fee-aware execution
- Modular, configurable strategy design
- Binance
- Coinbase
- Kraken
### Preferred Stack
- Python or C++ (open to alternatives if you can justify better latency or stability)
- Clean, well-documented, testable code is mandatory
**Please answer the following questions directly in your bid.
Bids that do not address these questions will not be considered.**### Screening Questions
- Have you built
production-grade trading bots before (not just backtesting tools)? - Do you have hands-on experience with
triangular, spatial, or statistical arbitrage? - How do you design systems to achieve
sub-second latency in real-time trading? - What is your approach to
real-time order book ingestion and fast reaction to price changes? - How do you handle
simultaneous positions, slippage, and fee calculations? - Have you integrated with
Binance, Coinbase, or Kraken APIs before? - How do you design exchange connectors so
new exchanges can be added easily later? - What challenges have you faced with
rate limits or unstable WebSocket feeds, and how did you solve them? - Which language would you recommend (
Python, C++, or other) and why, from a
latency/stability perspective? - How do you keep trading systems
clean, modular, and well-documented? - What
testing strategy do you use (unit, integration, stress tests)? - How would you structure
multiple arbitrage strategies so they don't interfere with each other? - How do you enable or disable strategies via
configuration, not code changes? - What kind of
real-time monitoring or dashboard would you propose? - How do you usually handle
deployment (Linux VPS, Docker, CI/CD)? - How do you monitor
logs, failures, and system health in production? - How would you run a
24-hour paper-trading validation? - Which
performance metrics would you report? - How do you ensure trades are
opened and closed automatically within predefined thresholds? - Have you built
similar low-latency or arbitrage systems before? - Can you share a
repo, demo, or architecture overview proving that experience? - What
results or benchmarks did your previous systems achieve?
- We're looking for developers who think in terms of
systems, latency, and correctness, and who can communicate clearly about technical trade offs.
Mandatory skills:
API, Python, API Integration
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