Trading Systems Analyst

Kalshi•New York, NY

1d•$180,000 - $300,000

About The Position

Kalshi Trading is an affiliated trading entity that operates across categories on Kalshi. The role focuses on building and maintaining the backend infrastructure underlying its trading operations. The successful candidate will help develop and support trading systems, including order management, and build robust, high-performance event-driven systems and APIs. The role offers substantial scope to shape both the position and Kalshi Trading’s activities as the company grows.

Requirements

At least 3 years of professional experience as a backend engineer.
Experience directly building trading systems, including order management.
Experience building robust, high-performance event-driven systems and APIs.
Experience writing concurrent code.
Strong comfort with relational databases such as Postgres.
Familiarity with the AWS stack, especially RDS and ECS.
Proficiency in at least one of Go, Rust, or C++.

Nice To Haves

Familiarity with stream processing such as Kafka.
Familiarity with frontend development.
Familiarity with machine learning, neural networks, or generative AI, including LLMs.
Experience trading on Kalshi or other prediction markets.

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 organizational computer systems to increase compatibility and enable information sharing.
Analyze information-processing or computation needs and plan and design computer systems using techniques such as 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.
Review computer printouts and performance indicators to locate code problems and correct errors.
Write code to perform desired actions.
Build and maintain backend infrastructure for trading operations, including trading systems and order management.