Sr Software Engineer, Build and Release Management

Role Overview

We'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 ss and delivers software — defining where our engineering practice is headed, architecting a next-generation CI/CD pipeline, and embedding AI across the DevOps 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, sed, and released and ensure the platform continues to meet the exacting demands of global markets with speed, precision, and reliability.

• 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 DevOps 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, s, and release environments end-to-end, with a relentless focus on reliability, observability, and rapid recovery
• Develop and maintain sing 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 sability, 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

Core Engineering Skills

• Advanced Linux expertise: system administration, hardware/software environments, shell scripting
• Extensive Python development or scripting experience
• Network administration, configuration management, and technical troubleshooting
• Strong CI/CD tooling experience, including Jenkins
• Containerization and virtualization: Docker, Kubernetes, AWS
• Build tools: Maven, CMake
• Package managers: uv, npm
• Databases: PostgreSQL (preferred), MySQL or Oracle; working SQL proficiency required

Supporting Technical Skills

• Atlassian toolset (Jira, Confluence)

The Ideal Candidate Has

• Vision and Leadership: 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
• AI and Automation (Critical Differentiator): Hands-on experience deploying AI to automate real DevOps 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 — LangChain, AutoGen, or equivalents and applied to build orchestration or infrastructure challenges
• A builder's instinct: you see where AI can remove friction and you act on it