Senior Full Stack Engineer - (AI enablement) Lifecycle

Overview

In this role you will push AI across Lifecycle engineering, building and integrating AI-powered tooling into our development workflow. You’ll own and ship internal tooling that connects AI capabilities with Jira, GitLab, and our CI/CD, while maturing observability and automation. You work across the stack with a strong focus on Java backend systems and modern backend services. You’ll mentor peers, drive AI adoption, and help shape a self-running engineering pipeline.

Pay / Benefits

• hybrid work: three days in the office
• competitive salary
• flexible benefits package
• private medical cover for you and family
• life insurance
• 25 days holiday plus birthday and volunteering days

Responsibilities

• Build and maintain internal tooling embedding AI into daily engineering work (coding assistants, AI-generated tests, deployments, defect triage)
• Enhance observability for the AI-assisted pipeline to show tooling activity, outcomes, and gaps
• Identify and automate manual steps in coding, testing, and release processes
• Divide work into small, releasable pieces for continuous delivery
• Collaborate with a product owner to ground developments in real delivery
• Foster ongoing improvements and AI adoption as part of delivering value
• Integrate AI into the testing pipeline (exploratory test generation, defect clustering, flaky-test detection, smarter test prioritisation)
• Evaluate and roll out LLM-based developer tools (e.g., Claude Code) and integrate safely with Jira, Confluence, and GitLab
• Define and refine standards for responsible AI use in SDLC (data handling, prompt hygiene, guardrails)
• Mentor less experienced engineers on AI tooling usage
• Coordinate with security and compliance to meet IG’s regulatory and data-handling requirements
• Track metrics (cycle time, defect escape rate, test coverage, delivery turnaround) and iterate based on data

Key requirements

• Extensive Software Engineer background with strong production systems judgment
• Experience across the stack (front-end React / React Native or strong Java/backend)
• Fluency in test-driven development and pair programming
• Ownership of features or systems from design to production
• Interest in heavy automation and removing manual steps
• Experience evaluating or using LLM-based developer tools in practice

• curiosity and forward-thinking mindset
• technical judgment under pressure
• mentoring and knowledge sharing
• Java backend / modern backend services
• React / React Native (frontend) expertise
• AI tooling integration (LLM-based tools)