What You’ll Do
- Coach multiple agile teams to improve engineering capability, delivery effectiveness and technical decision-making.
- Identify and reduce technical debt, security, resilience and knowledge-concentration risks.
- Promote pragmatic engineering standards, automation and effective developer tooling.
- Improve developer experience through self-service capabilities and platform adoption.
- Support responsible adoption of AI-assisted software development, including coding assistants such as Claude.
- Help teams use AI for coding, testing, code reviews, troubleshooting and documentation.
- Facilitate workshops, communities of practice and knowledge-sharing sessions.
- Support technical modernisation and continuous improvement initiatives.
- Contribute to engineering governance, skills development and technical capability planning.
What You’ll Bring
- Significant commercial experience in software engineering and technical leadership.
- Strong knowledge of cloud-native development, CI/CD, infrastructure as code, automated testing, observability and secure software development.
- Practical experience with AWS, GitLab or comparable platforms, APIs, containers and modern programming languages.
- Experience coaching and mentoring teams with different levels of maturity.
- Understanding of large language models and AI-assisted engineering.
- Excellent communication, facilitation and stakeholder-management skills.
Desirable
- Platform engineering, Kubernetes or internal developer platforms.
- AI platforms, MLOps, prompt engineering or agentic workflows.
- AI governance and responsible AI adoption.
- Public-sector digital delivery or technology modernisation experience.