Jobs at CME Group

Build and deploy AI data agents that interact with enterprise knowledge graphs, data catalogs, BigQuery, and analytics infrastructure. Develop modular agent skills and evaluation systems, create intelligent data pipeline integrations, and expand knowledge platforms in collaboration with data engineers. Use coding-agent tools to accelerate development. The role requires Python and Java, with preferred experience in Google ADK, LangChain, GCP, BigQuery, Kubernetes, GitOps, and major foundation models.

Build and deploy AI data agents that interact with enterprise knowledge graphs, data catalogs, analytics systems, and data pipelines. Develop modular agent skills and evaluations, integrate AI capabilities with BigQuery and unified data platforms, and support knowledge catalog and graph expansion. Required skills include Python, Java, agent tooling, and coding assistants. Preferred experience includes Google ADK, LangChain, cloud platforms, Kubernetes, GitOps, and foundation models.

Prepares journal entries, account reconciliations, financial reports, and financial statements for EMEA and APAC entities. Supports month-end and quarter-end close, statutory audits, internal controls, regulatory compliance, and Sarbanes-Oxley requirements. Identifies process improvements, validates financial data, and contributes to accurate management reporting and disclosure quality.

Own the strategy and implementation of CME Group’s external data and analytics API ecosystem. Build Python and C++ SDKs, schema registries, technical documentation, cloud distribution frameworks, authentication, telemetry, CI/CD workflows, and unified API standards. Partner with customers, product teams, engineering, and business stakeholders to improve developer experience, simplify data consumption, and normalize API design across the organization. The role combines hands-on software development, customer integration, technical writing, and enterprise API strategy.

Engineer and operate reliable GCP infrastructure and middleware platforms supporting high-concurrency, ultra-low-latency trading applications. Responsibilities include migrating messaging, service discovery, and data distribution systems; maintaining observability, SLIs, and SLOs; responding to production incidents; reducing toil through automation; supporting disaster recovery and resiliency testing; and mentoring junior engineers.