Full Stack Engineer - D365

As a Software Engineer within the Centrica Field Operations Platform, you will play an integral role in forecasting and scheduling colleague availability to effectively meet customer demand, ensuring that engineers with the appropriate skill sets are dispatched efficiently to customer locations.

Day‑to‑Day Responsibilities

• 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.

Mandated Technical Decisions

• Apply strong technical and product judgement to evaluate trade‑offs and make decisions that optimise customer impact, performance, reliability, and development efficiency.
• Own technical decisions relating to application development, influencing architectural and strategic decisions across the broader product space.
• Use data, analytics, insight, and automated testing outputs to inform decisions and prioritise improvements.
• Operate within established engineering, security, privacy, and governance frameworks, while helping to refine them to support faster, safer delivery.
• Make timely decisions that balance innovation with risk, enabling the team to deliver value quickly without compromising quality.
• Apply judgment and engineering expertise to validate automated outputs, ensuring accuracy, safety, and ethical use.
• Focus 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

• C#
• C# Entity Framework
• APIs / web services
• Plugins (Dynamics)
• JavaScript
• HTML
• Dynamics 365, Dataverse
• Workflow Assemblies
• PCF Controls
• Fetch XML
• Web Resources
• Power Apps, Power Automate
• Azure Functions, Logic Apps

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.