Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Sep 3, 2026.
Join Cboe Europe as a Senior QA Manager, where you will lead a team of software quality engineers responsible for testing and deploying our high-performance trading system. You will work closely with development and business teams to prioritize and schedule projects, contribute to tools and automated tests, and manage our CI/CD deployment pipeline. This role is critical to enhancing Cboe's technology and ensuring industry-leading performance.
Missions
- Manage a team of software quality engineers responsible for testing and deploying high-performance trading systems.
- Translate testing requirements into automated regression tests for Exchange platforms, and contribute to new tool designs and testing techniques.
- Implement AI-centric Software Development Life Cycle (SDLC) practices in the QA space, and apply modern AI techniques to QA activities.
Profil recherché
- Demonstrable experience with implementing an AI-centric SDLC in the QA space- Experience working in a continuous integration environment and with tools such as Jenkins or Bamboo
- More than five years of individual contributor QA experience, with recent and demonstrable experience coding and enhancing test frameworks and creating automated test cases
- Three years of experience planning, organizing, and leading test efforts or testing teams
- A builder’s instinct: you see where AI can remove friction and you act on it
- Understanding of database platforms such as PostreSQL (preferred). A working knowledge of SQL is necessary
- Practical experience with tools such as Claude Code, OpenAI Codex, or similar
- Strong experience in object-oriented design and programming techniques
- Familiarity with agentic AI frameworks - LangChain, AutoGen, or equivalents
- Experience with the Atlassian toolset is a plus
- Recent management experience overseeing quality assurance teams
- Experience with version control tools such as Git (preferred), Subversion, or other version control tools
- Demonstrable ability to hire top talent and grow quality assurance engineers
- Python development or scripting experience or a working knowledge of another scripting or programming language and a willingness to learn Python
- Experience working in financial markets and knowledge of various order entry or market data protocols

