Team Lead, Software Engineering (AI)

Location: London, United Kingdom — 135 Bishopsgate

Company

hirify.global provides market infrastructure, liquidity, price discovery, and data solutions across global financial and commodities markets.

What you will do

• Lead delivery across the full software development lifecycle, from technical design and implementation through testing, deployment, and production support.
• Provide hands-on technical leadership through architecture decisions, code reviews, mentoring, engineering standards, and delivery risk management.
• Design, develop, and maintain modern C++ services for Linux, Docker, and AWS EKS environments.
• Establish automated testing, release, observability, and operational practices while resolving complex technical and production issues.
• Modernise Windows-based C++ applications toward Linux and container-based architectures.
• Embed safe, repeatable AI-assisted engineering practices across design, implementation, testing, debugging, and documentation.

Requirements

• Strong hands-on expertise in modern C++17 or later, including multithreading, concurrency, memory management, and performance optimisation.
• Commercial experience developing and supporting native C++ applications on Linux.
• Strong knowledge of Linux development and debugging tools, including GCC/Clang, GDB, and CMake.
• Practical experience with Docker and Kubernetes or comparable container orchestration technologies.
• Solid understanding of distributed systems, networking, service reliability, and production troubleshooting.
• Experience providing technical leadership to software engineering teams, including technical decision-making, code review, mentoring, and engineering standards.
• Strong commitment to automated testing, maintainable software, and reliable production delivery.

Nice to have

• Hands-on experience with AWS EKS and associated AWS services.
• Experience operating high-performance C++ services in containerised production environments.
• Experience with CI/CD pipelines, infrastructure automation, and cloud-native deployment practices.
• Knowledge of TCP/IP, UDP, asynchronous I/O, and high-throughput messaging.
• Experience modernising legacy Windows applications or migrating systems to Linux.
• Knowledge of financial markets, market data, trading systems, or order management platforms.
• Experience applying AI-assisted development tools within secure engineering workflows.

Culture & Benefits

• Work as part of a small, highly skilled engineering team within Global Analytics.
• Collaborate with Principal Engineers, DevOps, Infrastructure, Architecture, and business stakeholders.
• Contribute to an inclusive culture focused on diverse perspectives, knowledge sharing, and continuous improvement.
• Employment is full time.