Full Stack Engineer - APIM

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.

An opportunity to play your part. 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.

As a Software Engineer within the Centrica Field Operations Platform, you will play an integral role on the team responsible for enhancing our ability to forecast and schedule colleague availability to effectively meet customer demand. This involves ensuring engineers with the appropriate skill sets are dispatched efficiently to customer locations. You will collaborate as a member of Field Platform Engineering squads, supporting the efficient building, testing, and deployment of software solutions

Day to day:

• Design, build, test, and maintain high-quality software solutions across the Field Operations Platform

• Deliver well-structured, secure, and maintainable code that meets agreed functional and non-functional requirements, adhering to established engineering standards and best practices.

• Work as part of a cross-functional squad, collaborating closely with Product, QA, Architecture, and Operations to deliver customer and business outcomes.

• Participate in code reviews, design discussions, and technical refinement sessions, providing constructive input and learning from others.

• Own the quality of your work through automated testing, peer review, and proactive defect resolution.

• Support the operation of live services by contributing to incident investigation, root cause analysis, and ongoing platform improvements.

• Continuously improve your technical skills and understanding of the platform, tools, and domain, applying a growth mindset to both delivery and learning.

• Follow security, compliance, and data protection requirements, ensuring customer and business data is handled responsibly.

• Take ownership for delivering agreed work items to a high standard, raising risks and blockers early, and contributing positively to team delivery.

Key Stakeholders:

Software Engineering Managers, Principal Software Engineers, Product teams, Security teams, Infrastructure teams

Problem Solving & Decision Making:

• Applies strong technical and product judgement to evaluate trade-offs and make decisions that optimise customer impact, performance, reliability, and development efficiency.

• Owns technical decisions relating to application development, while influencing architectural and strategic decisions across the broader product space.

• Uses data, analytics, insight, and automated testing outputs to inform decisions and prioritise improvements.

• Operates within established engineering, security, privacy, and governance frameworks, while helping to refine them to support faster, safer delivery.

• Makes timely decisions that balance innovation with risk, enabling the team to deliver value quickly without compromising quality.

• Applies judgement and engineering expertise to validate automated outputs, ensuring accuracy, safety, and ethical use.

• Focuses on principles such as robustness, privacy, maintainability, and customer trust, without tying the role to specific technologies that may change over time.

What We Need From You:

• Demonstrated experience working as a software engineer within a cross-functional delivery team in a modern product or platform environment.

• Working knowledge of modern software engineering practices including source control, CI/CD pipelines, automated testing and code review.

• Experience writing secure, maintainable and well-tested code, with an understanding of non-functional requirements such as performance, resilience and scalability.

• Familiarity with cloud-native concepts such as event-driven architectures, asynchronous processing and managed services.

• Experience supporting live services, including participation in incident investigation, defect resolution and continuous improvement activities.

• Understanding of security, data protection and compliance principles relevant to customer platforms and enterprise systems.

• Ability to analyse problems, troubleshoot issues and contribute to technical solutions with appropriate guidance.

• Strong communication skills, with the ability to collaborate effectively with engineers, product managers, QE and other stakeholders.

Hands on experience in:

• C#

• .NET Core

• SQL

• NOSQL

• Azure API Management

• Azure Functions

• Azure Data Factory

• Logic Apps

• Service bus queue

• Storage Account

• Application Insights

• Key Vault

• Event Grid

• Container Registry

• Batch account

Core Competencies & Technical Skills (AI and emerging technology):

• Designs, integrates and operates AI-enabled solutions within enterprise environments, including prompt-driven workflows, retrieval-augmented systems and AI agents.

• Applies 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 takes responsibility for the responsible lifecycle of AI features from experimentation through deployment and continuous improvement.