Kalshi operates the first federally regulated US exchange for event contracts—a novel asset class enabling traders to take positions on discrete outcomes (legislation, economic indicators, etc.) rather than traditional price movements. The tech stack reveals dual engineering cultures: a modern, cloud-native backend (Rust, Go, Kubernetes, AWS/GCP/Azure) paired with a media-heavy creative toolkit (Premiere Pro, After Effects, Cinema 4D), suggesting both infrastructure maturity and significant brand/content investment. Hiring velocity is accelerating across marketing (7 roles) and engineering (6 roles), with compliance and ops gaps, indicating a company scaling go-to-market and operational footprint while grappling with CFTC complexity.
Kalshi is a regulated derivatives exchange founded in 2019 and headquartered in New York. The company holds CFTC approval to offer event contracts—derivatives that let traders bet on whether a specific future event will occur. The product targets investors seeking exposure to novel risks and economic events (pandemic metrics, legislative outcomes, etc.) that traditional commodity futures do not cover. Operationally, Kalshi is 51–200 employees, US-focused, and balancing three concurrent challenges: greenfield platform development (exchange rulebook, clearinghouse infrastructure, core trading and mobile UI), regulatory navigation (CFTC compliance, accounting complexity), and market expansion (international entry, go-to-market iteration). The creative toolkit presence alongside backend infrastructure suggests heavy investment in brand differentiation and trader education.
Backend: Rust, Go, Python, Kubernetes, Docker, Terraform on AWS/GCP/Azure. Data: dbt, Redshift, Snowflake, Presto, Hive, Apache Spark, Dagster for orchestration. Observability: Datadog. Identity/compliance: Okta, Vanta, OneTrust, ServiceNow.
Exchange rulebook and clearinghouse development; core trading platform and mobile app (with biometric auth, notifications); cloud performance tuning; market entry strategy and go-to-market iteration; brand-focused video content production.
Kalshi'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.