Trading Systems Engineer (Kalshi Trading LLC)

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. Kalshi 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. 

• Our vision: well… build the largest financial market on the planet. 
• Our mission: bring more truth to the world through the power of markets. 

Building a new category is hard… like really hard. But it’s beautiful and deeply fulfilling. 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.

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:

• 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
• Very comfortable with relational databases (e.g. Postgres)
• Familiarity with the AWS stack (especially RDS and ECS)
• 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:

• Familiarity with stream processing (Kafka)
• Familiarity with frontend development
• Familiarity with machine learning, neural networks, or generative AI including LLMs
• 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.

Salary Range: $200,000 to $300,000 annually plus equity and benefits.

This salary range is based on the current available market data and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but a broad range of experience is represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to discuss further.

Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.

Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.

Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.