Trading Systems Analyst

About the role

Kalshi is a prediction market platform that lets people trade on the outcome of events, turning questions about the future into financial assets. Kalshi Trading is an affiliated trading entity operating across all categories on Kalshi, and is looking for a backend engineer to build and maintain the infrastructure behind its trading operations. The role is based in New York and is full time.

Key responsibilities

• Troubleshoot program and system malfunctions to restore normal functioning.
• Test, maintain and monitor computer programs and systems, including coordinating their installation.
• Coordinate and link computer systems within the organization so information can be shared.
• Analyze information processing needs and design computer systems using structured analysis, data modeling and information engineering.
• Specify system inputs and plan the distribution and use of results.
• Expand or modify systems to serve new purposes or improve workflow.
• Develop, document and revise system design procedures, test procedures and quality standards.
• Analyze printouts and performance indicators to find code problems and correct errors.
• Write code to perform desired actions.

Required profile

• At least 1 year of professional experience in a related technical field such as computer science, systems analysis or a closely related discipline.
• Experience directly building trading systems, including order management.
• Experience building robust, high-performance event-driven systems and APIs.
• Experience writing concurrent code.

Required skills

• Very comfortable with relational databases (e.g. Postgres).
• Familiarity with the AWS stack, especially RDS and ECS.
• Proficiency in one of: Golang, Rust or C++.
• Potential bonus: Kafka stream processing, frontend development, machine learning, neural networks or generative AI including LLMs, and experience trading on Kalshi or other prediction markets.

The company states a base salary range of $180,000-$300,000 for the role, reflecting current market data.