Futures prop trading firm funding traders via simulated evaluations
Topstep runs a futures trading evaluation and funding program from Chicago, backed by a TypeScript/React and C#/.NET stack with Kafka, NATS, SignalR and WebGL pointing to real-time, latency-sensitive trading interfaces. Accelerating, engineering-heavy hiring alongside a sizable finance push lines up with active work on a custom charting engine, a mobile MVP and payments and payouts, while Playwright adoption signals test-tooling modernization next to Cypress and Selenium.
Topstep is a privately held proprietary trading firm headquartered in Chicago, Illinois, founded in 2012. Traders complete a simulated evaluation and, if successful, gain access to trade live futures markets using the firm's capital. The company also supplies tools, education and market context aimed at building disciplined risk management habits. It employs 201–500 people and currently hires in the United States across engineering, finance, operations, security, legal and product.
Topstep uses TypeScript, Node.js, React, React Native, Next.js, C#/.NET, PostgreSQL, SQL Server, Snowflake, Redis, Kafka, NATS and SignalR on AWS, with Kubernetes, Terraform and ArgoCD, plus Stripe, Adyen and PayPal for payments.
Yes. Engineering is Topstep's largest hiring area, with hiring velocity accelerating and most openings at senior level, alongside finance, operations and security roles, all in the United States.
Topstep's job posts point to a trader-facing web experience, a custom charting engine, a mobile MVP built from scratch, account and onboarding flows, payments and payouts, and platform scalability initiatives.
Other companies in the same industry, closest in size
Topstep's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.