Software Engineer, Backend (Clearing)

Cboe Global Markets • Chicago, IL

1d • Hybrid

About The Position

Cboe Clear U.S. (CCUS) is a regulated clearinghouse that clears event contracts and prediction markets listed on Cboe’s exchanges. The team is building toward tokenized collateral, 24x7 operation, and infrastructure connecting traditional finance with DeFi rails. The Software Engineer builds and operates services that clear trades, owning features within team-defined designs, tests, and observability, and participating in on-call support for the code they own. Java is the primary stack, though the team welcomes engineers with experience in other languages. The team values design documents and architecture decision records before implementation, collaboration across team boundaries, production-ready instrumentation, and learning from feedback.

The role follows a four-day-in-office work model at Cboe’s Chicago headquarters. The technology environment includes Java, Kubernetes, GitHub and GitHub Actions, Harbor and Artifactory, Helm, ArgoCD, PostgreSQL, Kafka, and Linux. This technology list is representative rather than exhaustive; candidates are encouraged to apply if they have built similar systems and learn quickly.

The position requires at least five years of backend development experience and a bachelor’s degree in Computer Science or a related discipline, or equivalent practical experience. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. The anticipated U.S. base salary range is $107,525–$139,150. The position may also be eligible for annual incentive compensation and, where applicable, participation in Cboe’s long-term equity programs.

Requirements

• At least five years of backend development experience.
• At least three years of professional Java experience.
• Experience building and operating distributed, service-based systems in production.
• Production engineering discipline, including ownership of services that must be kept running.
• A solid grounding in object-oriented and functional programming, software engineering principles, design patterns, data modeling, and SQL.
• A record of turning ideas into shipped work and changing course when evidence supports it.
• Ability to work with non-technical partners and turn concepts into working solutions.
• Bachelor’s degree in Computer Science or a related discipline, or equivalent practical experience.
• Legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Nice To Haves

• Experience with Kubernetes, Nomad, or similar container orchestrators.
• Experience with Kafka or equivalent event-streaming technology.
• Experience with capital markets clearing or post-trade systems.
• Solid Linux fundamentals and disciplined version control practices.
• Experience with AI-assisted development tools.
• Python experience for analytics work and rapid prototyping.
• Experience with JVM languages such as Clojure, Scala, or Kotlin.
• Experience with the FIX messaging protocol.
• Experience with distributed tracing and observability tooling.

Responsibilities

• Design, develop, and maintain scalable Java microservices.
• Optimize PostgreSQL schemas and queries.
• Build services supporting clearing workflows, including trade processing, margin, and settlement.
• Ensure data integrity, consistency, and reconciliation across integrated systems.
• Operate services and provide the metrics, logs, and traces needed to diagnose production issues.
• Help define service level objectives for owned services and the alerting that supports them.
• Contribute to architecture decision records and design documents before implementation begins.
• Use AI responsibly, including tools such as Claude or Copilot, to improve code quality and productivity.
• Document relevant details in the team wiki.
• Support delivery across the full software lifecycle, from design and implementation through testing and production support.

Benefits

• The role may be eligible for annual incentive compensation.
• Where applicable, the role may include participation in Cboe’s long-term equity programs.
• Cboe describes a total rewards program, with additional information available through its Total Rewards resource.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level