Sr Software Engineer, Build and Release Management
Listed on 2026-05-24
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Software Development
DevOps
Building trusted markets — powered by our people
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.
Location OverviewCboe Global Markets operates a key office in the Overland Park Xchange (OPx), located in Overland Park, Kansas, a bustling suburb of Kansas City. The OPx business park is strategically positioned to provide convenient access to the Kansas City metropolitan area, offering modern infrastructure and a collaborative environment ideal for the financial services and technology industries. The OPx site provides a balance of high‑quality office space, advanced facilities, and an environment conducive to productivity and growth.
Role OverviewWe're looking for an engineer who thinks in systems, leads with vision, and sees AI as a force multiplier for everything we build and ship. As part of our Build and Release Management team, you'll own the future of how Cboe tests and delivers software — defining where our engineering practice is headed, architecting a next‑generation CI/CD pipeline, and embedding AI across the Dev Ops lifecycle.
At the heart of this role is Cboe Titanium (Cboe Ti), our high‑performance, globally consistent and locally optimized exchange platform designed to support Cboe's trading operations across options, futures, and equities markets worldwide. You'll be a key driver in shaping how Cboe Ti is built, tested, and released and ensure the platform continues to meet the exacting demands of global markets with speed, precision, and reliability.
This hands‑on and highly technical role focuses on managing the software build process, providing oversight for build/test environments, developing and supporting testing tools and status dashboards, influencing and shaping our continuous integration process, and ensuring our weekly release process is successful.
- Define and drive the vision for Cboe's build and release engineering practice — from pipeline architecture to tooling strategy to long‑term roadmap
- Lead AI adoption across the Dev Ops lifecycle — deploying intelligent automation for changelog generation, incident summarization, deployment workflows, and infrastructure‑as‑code generation. Not just using AI tools, but building with them
- Architect, evolve, and own a high‑performance CI/CD pipeline that supports weekly production releases to mission‑critical financial systems
- Champion an automation‑first culture — if a human is doing it repeatedly, build something smarter
- Oversee build, test, and release environments end‑to‑end, with a relentless focus on reliability, observability, and rapid recovery
- Develop and maintain testing tools, dashboards, and status reporting that give engineers the visibility they need to move fast with confidence
- Collaborate across engineering teams to influence software design for testability, deployability, and operational excellence, serving as a trusted advisor and thought leader who actively extends best practices to other groups, technologies, and applications across the enterprise
- Stay ahead of the curve — continuously evaluate and introduce emerging technologies that keep Cboe's engineering practice at the leading edge
- A strategic, forward‑thinking mindset — you don't just solve today's problems, you design systems that scale
- Strong analytical skills and an exacting attention to detail
- The ability to build consensus, communicate clearly, and lead change across cross‑functional teams
- Hands‑on experience deploying AI to automate real Dev Ops workflows — think intelligent release pipelines, AI‑assisted code review, automated incident triage, and beyond
- Practical experience with tools such as Claude Code, OpenAI Codex, or similar
- Familiarity with agentic AI frameworks — Lang Chain, Auto Gen, or equivalents and applied to build orchestration or…
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