Software Engineering Manager - Knowledge/AI and Platform Enablement Squads in Windsor

Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer.

We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. Centrica, Technology is a core driver of how we deliver our strategy. You'll join a team modernising our platforms, strengthening cyber and operational resilience, and advancing a product-led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes at pace.

We're scaling automation and AI from proof-of-concept into real, end-to-end change - improving customer journeys, reducing cost-to-serve, accelerating delivery, and building the digital foundations that underpin everything from energy trading and risk to field operations and critical infrastructure.

If you want to work on complex, high-impact problems using modern engineering practices, and help build reusable platforms that will shape how Centrica operates over the next decade, this is the place to do it.

The Software Engineering Manager provides senior technical leadership, engineering governance and delivery oversight for the Knowledge/AI and Platform Enablement Teams. The role ensures that platform features, integrations and non-functional capabilities are delivered to a high standard, supporting extensible products across Salesforce, knowledge and AI platforms, improving team delivery processes, delivery of functional and non-functional requirements and improving our customer experience.

This role will lead the implementation of Salesforce strategy across the organisation, ensuring consistent working practices are implemented, monitored and supported as required for each organisation. This role is expected to use automation, data and AI enabled tooling to reduce manual effort, enhance engineering quality, improve cycle times and increase reliability, while retaining full accountability for technical judgement, decisions and outcomes.

Location: UK-based hybrid role, Occasional travel to site.

Day to day:

• Provide senior technical leadership across Knowledge/AI and Platform Enablement squads - Define standards, patterns and set technical direction, ensuring the platform is scalable, resilient and aligned with Centrica's technology strategy.
• Own the end to end software development lifecycle across multiple squads - Ensure teams follow robust engineering practices throughout discovery, design, build, testing, deployment and operations, consistently meeting business and nonfunctional requirements.
• Guide complex design decisions and technical solutioning - Lead technical reviews, challenge design options, and ensure solutions follow best practice, reduce duplication, and promote maintainable, secure and performant systems.
• Enhance delivery capability through platform reliability and DevOps maturity - Continuously improve deployment pipelines, observability, alerting, incident handling, recovery procedures and operational readiness.
• Manage stakeholders and ensure transparent communications - Build strong relationships across product, operations, delivery and business teams to coordinate plans, manage risk, align on priorities and ensure clarity of expectations.
• Drive engineering excellence and uplift team capability - Track, analyse and improve engineering excellence metrics; coach engineers and promote a culture of learning, continuous improvement, and high-quality engineering.
• Support data-driven and API-centric integration design - Ensure APIs, integrations, and data flows are designed with consistent patterns, strong data quality, security, scalability and operational resilience.
• Improve how work is done - Identify opportunities to simplify processes, reduce technical debt, automate repetitive tasks, use AI-assisted engineering, and enhance developer experience.

What we need from you:

• Degree in Computer Science / Engineering or equivalent professional experience.
• Proven experience shaping and delivering technology strategy in a complex engineering environment.
• Strong hands on experience in at least one core programming language.
• Hands on experience managing Salesforce teams and implementation of standardised patterns.
• Expertise in API management, integration patterns, event driven architectures, AI models and microservices.
• Strong understanding of data management, data modelling and data quality controls.
• Ability to produce high level and detailed design specifications.
• Experience running DevOps practices including CI/CD, observability, monitoring and incident management.
• Multi-squad engineering leadership.
• Proven experience leading software engineering delivery in a complex, multi team environment.
• Experience providing technical leadership and governance across the full SDLC.
• Experience working in agile, product led delivery environments.

Mindset & Ways of Working:

• Comfortable working in iterative, outcome focused, agile environments.
• Open to new tools, automation and AI assisted engineering approaches.
• Highly collaborative across product, engineering, design and operations.
• Strong problem solver with a simplification and continuous improvement mindset.
• Senior technical decision-making - Strong technical background in modern software engineering practices (APIs, integration, CI/CD, DevOps).
• Ability to guide architectural and design decisions and manage non functional requirements.
• Strong stakeholder management and communication skills.

Core Competencies & Technical Skills:

• Ability to design, integrate and operate AI enabled solutions within enterprise environments, including prompt driven workflows, retrieval augmented systems and AI agents.
• Applying structured evaluation, testing and monitoring practices to ensure AI outputs are reliable, secure and compliant with organisational guardrails.
• Prepares and manages data used in AI workflows and take responsibility for the responsible lifecycle of AI features from experimentation through to deployment and continuous improvement.

Why should you apply?

We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too.

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.