Team Lead, Software Engineering

In this role, you lead a small, skilled software engineering team within Global Analytics to deliver high-quality, scalable price discovery, order management and trade capture tools. You will combine hands-on coding with people leadership to raise delivery standards and reduce technical debt. A key focus is embedding AI-enabled engineering practices to accelerate delivery while maintaining security and quality. You’ll collaborate across DevOps, Architecture, and business stakeholders to translate requirements into reliable, production-ready systems. This is a growth opportunity in a mission-driven, global financial technology environment.

• Own end-to-end engineering delivery across the full software development lifecycle
• Provide hands-on technical leadership and set high standards for design, quality and maintainability
• Lead technical decisions, code reviews, and risk identification with opportunities for improvement
• Establish automated testing and release practices for predictable delivery
• Drive resolution of complex production issues and address root causes via sustainable improvements
• Continuously reduce technical debt and operational risk
• Leverage AI-assisted development tools across design, implementation, testing, and documentation
• Ensure AI-generated code meets established standards for security, maintainability and testing
• Provide technical guidance, mentoring and code review to engineers
• Collaborate with Principal Engineers, DevOps, Infrastructure and Architecture to deliver scalable solutions
• Promote documentation, knowledge transfer and shared ownership of critical applications
• Communicate risks, dependencies, and trade-offs clearly and proactively
• Translate business requirements into practical engineering solutions
• Design, develop and maintain modern C++ services on Linux, Docker and AWS EKS
• Apply cloud-native practices including health checks, logging, and observability
• Modernise Windows-based C++ apps towards Linux/container-based architectures
• Establish reliable build, deployment and operational practices with DevOps/Infrastructure teams

• Modern C++ (C++17 or later) with multithreading, concurrency and performance optimisation
• Commercial experience with native C++ on Linux
• Strong Linux development and debugging tools (GCC/Clang, GDB, CMake)
• Practical experience with Docker and Kubernetes or similar containers
• Understanding of distributed systems, networking, service reliability and production troubleshooting
• Proven technical leadership including mentoring, reviews and engineering standards
• Commitment to automated testing and reliable production delivery

• technical leadership
• mentoring and coaching
• clear communication of risks and progress
• Docker
• Kubernetes
• AWS EKS (desirable)