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IG Group

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Senior Full Stack Engineer - (AI enablement) Lifecycle

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Summary

Senior full-stack engineer at IG Group embedding AI into the software development lifecycle: building internal AI-powered tooling integrated with Jira, GitLab and CI/CD, automating testing and releases, improving observability, and mentoring engineers. Work spans the stack with a strong Java backend focus plus React/React Native.

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)

Skills

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