| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Alexander Chapman | New York, NY, United States | $77k - $85k | |||
D3 | Los Angeles, CA, United States | $54k - $99k | |||
Bondex | United States | $54k - $100k | |||
Calyptus | United States | $90k - $125k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Superlogic | New York, NY, United States | $150k - $175k | |||
ether.fi | New York, NY, United States | $130k - $160k | |||
CoinFlip | Chicago, IL, United States | $55k - $65k | |||
Reap | New York, NY, United States | $36k - $90k | |||
The Paradigm Shifters (Team TPS) | Austin, TX, United States | $81k - $95k | |||
Inversion | New York, NY, United States | $200k - $300k | |||
Gemini | New York, NY, United States | $230k - $355k | |||
Robinhood | Menlo Park, CA, United States | $187k - $220k | |||
Consensys | Remote | $156k - $187k | |||
Consensys | Remote | $123k - $153k | |||
Consensys | Remote | $156k - $187k |
We’re an independent trading technology firm developing advanced execution systems for institutional crypto and digital asset markets. Their mission is to build intelligent trading infrastructure that minimizes transaction costs and optimizes execution quality through real-time analytics, low-latency design, and adaptive signal processing.
Role Overview:
We’re seeking a Quantitative Developer to design, implement, and optimize the core components of our low-latency execution stack. This includes exchange connectivity, market data processing, and strategy integration across both centralized and decentralized venues. The ideal candidate enjoys building performant systems, working close to the markets, and seeing their code make an impact in production.
Key Responsibilities:
- Develop and maintain high-performance connectors for multiple crypto exchanges (REST, WebSocket, FIX).
- Optimize market data ingestion, order routing, and execution logic for minimal latency and maximum reliability.
- Collaborate with researchers to deploy and refine market-making and market-neutral strategies.
- Conduct profiling, stress testing, and latency optimization in live trading environments.
- Build real-time monitoring tools and performance dashboards.
- Manage deployments across cloud and containerized environments (AWS, Docker, Kubernetes).
- Contribute to the design of systems for signal ingestion, simulation, and backtesting.
What We’re Looking For:
- 1–3 years of experience in quantitative development, trading infrastructure, or low-latency systems.
- Strong coding ability in C++ or Rust, with solid experience in Python for tooling and research integration.
- Proficiency in working with exchange APIs and handling real-time data streams.
- Understanding of market microstructure and execution mechanics in crypto or other electronic markets.
- Familiarity with event-driven systems (e.g., Kafka) and cloud platforms such as AWS.
- Experience with asynchronous programming, multithreading, and network performance optimization.
- Bonus: Knowledge of ClickHouse, Web3 integrations, or low-latency Linux tuning.