Algorithmic Trading Engineer
Algorithmic Trading Engineer
This role involves ensuring the reliability, performance, and scalability of high-frequency cryptocurrency trading systems. Key responsibilities include system health monitoring, performance tracking, issue resolution, and process automation. The position offers a competitive base salary along with a quarterly cash profit share. Ideal candidates are passionate about maintaining high-performance systems, thrive in a 24/7 trading environment, and are detail-oriented problem solvers. Flexibility to work evenings or weekends when necessary is also important.
Key Responsibilities
- Ensure optimal performance by monitoring and maintaining trading system health.
- Identify, triage, and resolve real-time issues.
- Develop automation scripts and tools to streamline operations.
- Participate in follow-the-sun on-call rotations.
- Implement and maintain monitoring and alerting systems.
- Conduct root cause analysis and implement preventive measures.
- Optimize trading system performance through analysis and tuning.
- Maintain documentation for operational procedures and system architecture.
- Assist in planning and scaling trading infrastructure.
Required Skills
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Experience in financial trading systems or high-frequency environments.
- Strong proficiency in Python for scripting and automation.
- Linux systems administration in production environments.
- Knowledge of network protocols and troubleshooting techniques.
- Familiarity with SQL/NoSQL databases and real-time data processing.
- Experience with monitoring tools (e.g., Prometheus, Grafana).
- Ability to analyze and troubleshoot trading logs.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Self-motivated and intellectually curious.
Desired Qualities
- Understanding of cryptocurrency markets and trading dynamics.
- Experience with centralized cryptocurrency exchange APIs.
- Experience with AWS.
- Familiarity with containerization technologies (e.g., Docker) in trading environments.
- Skills in database performance tuning.
- Proficiency in log analysis and automated alert response systems.
- Knowledge of financial risk management principles applied to trading systems.
FAQs
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