Senior QA Manager
Cboe Exchange
Overview
Cboe Europe is seeking a Senior QA Manager to lead a team of software quality engineers for the European exchange platforms. You will align testing with development and business goals, prioritise and staff projects, and contribute to CI/CD pipelines and testing tools. You’ll apply AI techniques to QA within the SDLC and develop diverse test scenarios for equities, options, futures, and indices. This role supports a high-performance trading system and follows a four-day in-office model in London.
Pay / Benefits- Fair and competitive salary
- Comprehensive private medical insurance for employees and families
- Private GP service funding
- Life and long-term illness insurance
- Enhanced paid parental and adoption leave
- Pension contributions up to 7% of base salary
- Lead and manage a team of software quality engineers responsible for testing and deploying the Cboe Europe high-performance trading system
- Translate testing requirements into automated regression tests for Exchange platforms
- Review code and mentor junior team members
- Contribute to new tool designs and testing techniques
- Apply modern AI techniques to QA activities within the Software Development Life Cycle
- Familiarize with supported asset classes and develop test scenarios
- Learn trading concepts to support test coverage across equities, options, futures, and indices
- Recent management experience overseeing quality assurance teams
- Ability to hire top QA talent and grow engineers
- Three years of planning, organizing, and leading test efforts or testing teams
- Experience implementing an AI-centric SDLC in QA
- Practical experience with Claude Code, OpenAI Codex, or similar
- Familiarity with agentic AI frameworks – LangChain, AutoGen, or equivalents
- Coding experience in Python or willingness to learn Python
- OO design and programming skills
- Experience with PostgreSQL and SQL
- Version control experience (Git preferred)
- CI/CD experience with Jenkins or Bamboo
- Atlassian toolset experience a plus
- Experience in financial markets and knowledge of order entry or market data protocols (standout)
- team leadership
- hiring and talent development
- communication with cross-functional teams
- Python development or scripting
- AI-centric QA/SDLC
- Automated test design and execution
Reference: WJ-747_30163308