Software Engineer, Backend (Clearing)

Cboe Global Markets•Chicago, IL

2d•$107,525 - $139,150•Hybrid

About The Position

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We're building meaningful ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities. To support strong partnership and team connection, this role follows a four day in office work model. 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.

Requirements

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

Nice To Haves

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
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

Responsibilities

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.