Software Development Coach

Salary: £? - ? per year

Requirements:

• Significant commercial experience across software engineering and technical leadership.
• Hands-on software engineering and technical leadership within modern, cloud-based environments.
• Experience coaching and mentoring multiple Agile delivery teams with varying levels of maturity.
• Experience improving developer experience, engineering productivity and delivery quality through standards, tooling, automation and platform capabilities.
• Experience supporting the adoption of AI-assisted software development, including responsible use cases and measuring value.
• Experience identifying and reducing technical debt, security risks, resilience issues and knowledge concentration risks.
• Experience building communities of practice and facilitating workshops, learning and knowledge-sharing activities.
• Experience supporting technical modernisation and platform adoption.
• Strong communication skills with both technical and non-technical stakeholders.
• Strong working knowledge of Continuous Delivery and CI/CD.
• Strong working knowledge of cloud-native engineering.
• Strong working knowledge of Infrastructure as Code.
• Strong working knowledge of automated testing.
• Strong working knowledge of observability.
• Strong working knowledge of secure software development.
• Strong working knowledge of service resilience.
• Strong working knowledge of AWS.
• Strong working knowledge of GitLab or similar CI/CD platforms.
• Strong working knowledge of APIs and containers.
• Strong working knowledge of at least one modern programming language such as Java, Python, TypeScript or JavaScript.
• Strong working knowledge of Large Language Models and AI-assisted engineering tools, including their limitations, risks and practical applications.
• Experience in AI platform implementation or operational management, including AWS SageMaker or similar platforms, is advantageous.
• Experience with prompt engineering, agentic workflows and AI automation is advantageous.
• Experience with MLOps, model deployment, evaluation and monitoring is advantageous.
• Experience with AI governance and responsible AI practices is advantageous.
• Experience with platform engineering and internal developer platforms is advantageous.
• Experience with developer portals is advantageous.
• Experience with Kubernetes and container orchestration is advantageous.
• Experience with code quality or accessibility automation tooling is advantageous.
• Experience with engineering governance and capability frameworks is advantageous.
• Experience with technical career development and operating models is advantageous.
• Experience with public sector digital delivery is advantageous.
• Experience with open-source communities is advantageous.
• Experience with cloud cost optimisation is advantageous.
• Experience with technology modernisation programmes is advantageous.

Responsibilities:

• Coach multiple product and enablement teams to improve engineering capability, delivery effectiveness and technical decision-making.
• Identify technical, resilience and capability risks and support teams in delivering practical improvements.
• Drive the adoption of consistent engineering standards, secure development practices and effective ways of working.
• Improve developer experience through tooling, automation, self-service capabilities and platform adoption.
• Support teams in adopting AI-assisted software development practices responsibly.
• Help engineers gain practical value from AI coding assistants for coding, code review, testing, troubleshooting and documentation.
• Facilitate workshops, hands-on coaching and knowledge-sharing sessions.
• Build communities of practice that encourage collaboration, experimentation, learning and continuous improvement.
• Support the development of internal developer platforms, reusable engineering services and self-service tooling.
• Develop lightweight engineering dashboards and measures around quality, delivery, resilience and continuous improvement.
• Assess engineering practices to identify risks, capability gaps and modernisation opportunities.
• Contribute to technical governance, skills development, career pathways and workforce planning.
• Engage with suppliers, partners and external communities where this supports improved engineering outcomes.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• GitLab
• Support
• Java
• JavaScript
• Kubernetes
• MLOps
• Network
• Python
• Security
• TypeScript

More:

Parity Network is recruiting on behalf of a public sector organisation for an initial 12-month contract. This hybrid role is based in Edinburgh or Glasgow as required. We are seeking an experienced and hands-on Software Development Coach to strengthen engineering capability across our digital teams. This is an exciting opportunity to have a genuine impact on a large and complex digital environment, helping shape modern engineering practices, improve developer experience and support the practical adoption of emerging technologies, including AI-assisted development.

last updated 35 week of 2026