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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.