Cboe operates a multi-asset exchange platform (options, futures, equities, FX, digital assets) handling billions of events per day at sub-millisecond latencies. The tech stack reflects this operational intensity: heavy use of compiled languages (Java, C++), container orchestration (Kubernetes), cloud primitives (AWS, GCP, Terraform), and data-science tooling (NumPy, MATLAB, CUDA). Current hiring skews engineering-heavy with a focus on infrastructure, data pipelines, and compliance systems—signaling ongoing investment in real-time processing, containerization, and regulatory automation rather than feature expansion.
Notable leadership hires: CFE Market Structure Director, Chief Data Officer, Head Sales
Cboe Global Markets is a public exchange operator headquartered in Chicago that runs global trading venues for derivatives, FX, equities, and digital assets. The platform serves institutional and retail investors across multiple asset classes, with specialties in options (SPX, VIX), futures, and clearing services. Operationally, Cboe manages extremely high-frequency workflows—billions of messages daily—requiring distributed cloud infrastructure, real-time pricing systems, and integrated regulatory surveillance. The company employs 1,001–5,000 people and maintains trading operations across the United States, United Kingdom, Singapore, China, and the Netherlands.
Cboe runs Java, C++, Python, and .NET across AWS and GCP, with Kubernetes for orchestration, Terraform for IaC, and Jenkins/GitHub Actions for CI/CD. Data-intensive work uses NumPy, MATLAB, and CUDA. SQL and R power analytics and reference-data pipelines.
Cboe actively recruits across the United States, United Kingdom, Singapore, China, and the Netherlands. Leadership roles include Chief Data Officer and Chief Sales Officer positions.
Other companies in the same industry, closest in size