Staff AI Software Engineer – AI Engineering Platform

Responsibilities

• Write, test, and debug code for complex features, distributed systems, or legacy migrations. Lead on designing and optimising deployment pipelines.
• Provide technical guidance and support on complex, high‑impact projects that align with team objectives, ensuring successful delivery of software solutions while tackling the hardest technical challenges for the team.
• Lead the development of architectural and design solutions for large‑scale projects, ensuring that software solutions align with business requirements, long‑term technology strategy, and technology standards.
• Review and provide constructive feedback on code submissions from team members, ensuring alignment to technical standards, maintainability and high‑quality software.
• Communicate and collaborate with a diverse range of collaborators, including senior management and external partners, while leading or starting communities of practice.
• Actively mentor and coach engineers at all levels, fostering an environment of continuous learning and growth, while participating in hiring processes and training engineers up to Staff standard.
• Demonstrate a production first attitude, continuously considering observability and maintaining Service Level Objectives, while delivering change at pace.
• Embrace emerging technologies and trends, share insights with the organisation, and develop and maintain the team technology roadmap, leading on the strategic approach to monitoring and maintaining production systems.
• Write advanced system and operations documentation and perform advanced internal tech talks to share knowledge and best practices.
• Assist with the recruitment and onboarding of new engineers into the organisation.

Requirements

• Strong experience in most tech stack areas, from front-end through to back-end.
• Expert understanding of software development practices.
• Solid expertise with distributed version control systems like Git.
• Proficiency with Test‑Driven Development, Behaviour‑Driven Development, and non‑functional testing.
• Strong experience of DevOps: you build it, you run it.
• Knowledge of modern front-end techniques – edge computing, micro‑frontends, server components.
• Experience with developer productivity frameworks such as DORA and SPACE.
• Advocate of Continuous Integration and Continuous Delivery.
• Experience with cloud engineering and highly scalable applications.
• Proficiency in documenting software design technical decisions and recommendations.
• Great leadership and coaching skills, with the ability to develop engineering colleagues.

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