Python Spark SQL AI - Agents

performance engineering apache spark python development performance optimization SQL Automation Engineering DevOps & CI/CD Algorithmic Trading

Responsible for handling the operational aspects of the algo and ensuring the stack is robust scalable and high performing

Responsibilities:

• Operational Engineering: Proactively identify and resolve technical bottlenecks in the trading lifecycle build automated solutions to enhance desk efficiency and system reliability
• Realtime Support: Provide expert level technical troubleshooting for production trading systems ensuring 247 high availability and performance in volatile market conditions
• System Architecture Optimization: Design build and maintain the high performance tech and data stack powering our systematic block market making business
• Algorithmic Implementation: Translate complex quantitative pricing models and business logic into robust production grade code for real time pricing and risk management

• Experience: working with AI Agents
• Education: Bachelors or Masters degree in Computer Science Computer Engineering or a related technical field A strong foundation in CS fundamentals data structures algorithms and systems design is essential
• Core Languages: Expert level proficiency in Python Spark and SQL You should be comfortable writing clean scalable and testable code
• Engineering Best Practices: Deep understanding of software engineering lifecycles including CICD version control Git and performance profiling

The pay range that the employer in good faith reasonably expects to pay for this position is $34.67/hour - $54.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.