Overview
We’re a technology team modernising 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.
Day to day responsibilities
* Champion solid engineering fundamentals including effective use of source control, CI/CD pipelines, and modern engineering practices.
* Utilise Azure DevOps and GitHub for work management, repositories, pipelines, and artifacts.
* Implement comprehensive observability solutions using Datadog for monitoring and performance optimisation.
* Ensure security and code quality through automated scanning and testing processes.
* Leverage Launch Darkly for feature flag management and controlled rollouts.
Problem Solving & Decision Making
* Design and develop full‑stack applications using Node.js, TypeScript, and React, ensuring high‑quality, maintainable code.
* Build and maintain cloud‑native solutions across a comprehensive range of AWS services including Lambda, API Gateway, S3, SQS, SNS, EventBridge, Step Functions, and AWS Lex.
* Implement Infrastructure as Code using Terraform to ensure consistent, scalable deployments.
* Develop mobile applications using React Native with Expo for software management (where applicable).
Qualifications
* Strong proficiency in full‑stack development with Node.js, TypeScript, and React.
* Extensive hands‑on experience with AWS services including Lambda, API Gateway, IAM, S3, SQS, SNS, EventBridge, and Step Functions.
* Solid experience with Infrastructure as Code using Terraform.
* Proficiency with Azure DevOps and GitHub for development workflows.
* Experience with observability tools, particularly Datadog.
* Knowledge of security scanning and code quality tools.
* Familiarity with feature flag management tools like Launch Darkly.
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.
Key Stakeholders
Software Engineering Managers, Principal Software Engineers, Product teams, Security teams, Infrastructure teams.
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