Role Overview
Cboe Clear U.S. (CCUS) is a regulated clearinghouse. We clear the event contracts and prediction markets listed on Cboe's exchanges, and we are building toward tokenized collateral, 24x7 operation, and the infrastructure that carries traditional finance onto DeFi rails.
CCUS Software Engineering is a high trust environment. Failure leads to inquiry rather than blame. Working across team boundaries is expected rather than tolerated. We solve the problem, then we write the code. Design documents and architecture decision records come first. The engineers we value most close their feedback loop. They write tests, and they instrument what they ship so it fails fast, explains itself in production, leaves an audit trail and rolls back cleanly.
The Software Engineer builds and runs the services that clear trades. You would own features inside a design your team sets, write the tests and observability that ship with them, and carry the on-call that comes from owning your own code. Java is our stack choice, but we hire polyglots. The engineers who do well here grow into shaping the design rather than working inside it.
Your responsibilities will be
Designing, developing and maintaining scalable microservices in Java.
Optimizing PostgreSQL schemas and queries.
Building services that support clearing workflows including trade processing, margin and settlement.
Ensuring data integrity, consistency and reconciliation across integrated systems.
Operating what you build, including the metrics, logs and traces that let you diagnose it in production.
Helping define the service level objectives for your services and the alerting that defends them.
Contributing to architecture decision records and design documents before implementation begins.
Leveraging AI responsibly, using tools such as Claude or Copilot, to improve code quality and productivity.
Documenting relevant details in the team wiki.
Required
Supporting delivery across the full software lifecycle, from design and implementation through testing and production support
Experience building and operating distributed, service-based systems in production
Production engineering discipline, meaning you have owned services you also had to keep running
Solid grounding in object-oriented and functional programming, software engineering principles, design patterns, data modeling and SQL
A record of turning ideas into things that actually shipped, and of changing your mind when the evidence says to
The ability to work with non-technical partners and turn a concept into a working solution
Strong command of Java, with at least three years of job experience in it
Preferred
Container orchestration with Kubernetes, Nomad or similar orchestrators
Event streaming with Kafka or an equivalent
Capital markets clearing or post-trade systems
Solid Linux fundamentals and disciplined use of version control
AI-assisted development tooling
Nice to have
Python, which we rely on for analytics work and rapid prototyping
JVM languages such as Clojure, Scala or Kotlin
The FIX messaging protocol
Distributed tracing and observability tooling
Current technology stack
Java on Kubernetes. Application code and CI pipelines live in GitHub with GitHub Actions. Container images and build artifacts live in registries such as Harbor and Artifactory, and Helm charts are deployed by ArgoCD from a GitOps repository. PostgreSQL, Kafka and Linux. This is representative rather than exhaustive.
You do not need experience with every technology in our environment. We hire for competencies over pedigree, so if you have built similar systems and learn quickly, we encourage you to apply.
Minimum Work Experience: 5+ years in backend development
Minimum Education: Bachelor's in Computer Science or a related discipline, or equivalent practical experience
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
Salary Ranges (applicable for US locations only) At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $107,525-$139,150, with actual compensation determined by job‑related factors such as skills, relevant experience, education, internal alignment, and location.
This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.
Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE.
Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.
