Trading Systems Engineer
US$180,000 – US$300,000 / yr base salary
Posted 2 Sep 2026
Advertised as “Trading Systems Engineer (Affiliated Trading)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$180,000 – US$300,000 / yr |
|---|
What is Kalshi?
Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.
We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.
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Our vision: well… build the largest financial market on the planet.
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Our mission: bring more truth to the world through the power of markets.
Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.
Role Roadmap
Kalshi Trading is an affiliated trading entity that operates across all different categories on Kalshi. We are looking for backend engineers who can build and maintain the infrastructure underlying our trading operations. The ideal candidate will have the following attributes:
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At least 3 years of professional experience as a backend engineer
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Experience directly building trading systems including order management
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Experience building robust high performance event-driven systems and APIs
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Experience writing concurrent code
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Very comfortable with relational databases (e.g. Postgres)
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Familiarity with the AWS stack (especially RDS and ECS)
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Proficiency in one of: Golang, Rust, C++
In addition to the above, the ideal candidate will also potentially have one or more of these attributes:
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Familiarity with stream processing (Kafka)
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Familiarity with frontend development
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Familiarity with machine learning, neural networks, or generative AI including LLMs
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Experience trading on Kalshi or other prediction markets
The rest of what the role looks like is up to you - a big part of our approach is that you get to chart your path as we grow and evolve. You will have a lot of influence in shaping what both your role and the activity of Kalshi Trading look like as we grow. There's a lot of green field to conquer, we trust that you'll make a lot of it your own.