Senior Full Stack Engineer

As our new Senior Full Stack Engineer, you will play a key role in the end-to-end delivery of products and services, owning a significant portion of each delivery from data and backend services through to user-facing interfaces.

Working within a fast-paced, AI-first engineering team, you will help deliver high-quality, scalable, and supportable solutions at speed.

This is a hands-on engineering role where you will actively design, build, test, and maintain software services. You will be responsible for writing production-quality code, conducting peer code reviews, validating solutions through automated and manual testing, and ensuring the reliability, performance, and maintainability of everything you ship.

In this varied role, you will:

• deliver services end to end - data through to interface, with their tests and evaluations - so that the team ships to done inside the time box
• build from harness scaffolding, rules files and the skills library so that the floor is inherited by default
• own the output of agentic workflows, whoever or whatever wrote it, so that the team ships work it understands and can stand behind
• keep progress legible and raise blockers and scope risk the day they appear so that a fixed time box is protected by honest, early signalling
• pay down debt and clear logged exceptions with the Architect at cooldown, and feed build reality into the harness backlog, so that every bet starts from a higher floor than the last
• take on harder work and a growing share of review cycle on cycle, so that capability deepens and delivery does not bottleneck on the leads
• proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library.

We are looking for:

• strong, current full-stack engineering capability with hands-on delivery in an Azure and Azure Dev Ops (ADO) ecosystem
• fluent practical coding in Python and JavaScript/Type Script, working comfortably across back-end services, front-end interfaces and automation scripting
• consideration for UI/UX best practices and emerging design trends
• the ability to take a slice from data through to interface, including its tests and evals, without waiting for it to be specified in detail
• comfortable building within CI/CD pipelines and infrastructure-as-code, to the secure, observable and tested defaults the pipeline enforces
• sound grounding in security, observability and test and evaluation automation, enough to leave a deliverable operable by a team that did not build it
• practical experience of AI-first, agentic delivery - working from rules files, known-good templates and a curated skills library, and writing evals for AI-generated output
• sound judgement on where agents help and where human design must come first, with the discipline to pace throughput to comprehension
• habit of honest, early signalling on progress, blockers and scope, and of contributing improvements back into shared tooling and standards
• a working knowledge across multiple AI tools and models, with the judgement to select the appropriate tool/model based on the development task, complexity, security requirements and expected outcome
• a strong prompt and context engineering skills, including creating effective instructions, rules and contextual information appropriate to the goal
• experience with agentic software engineering workflows, including orchestrating AI agents to perform multi-step development activities while maintaining appropriate human oversight.

• A combined pension contribution of up to 20%.
• Career progression and professional development…