Senior Software Engineer, IG Group

• Extensive background as a Software Engineer, with demonstrated technical judgement on production systems
• Solid, hands-on expertise in Java or a comparable backend service ecosystem
• Strong fluency in test-driven development and pair programming as working disciplines
• Real ownership experience: you’ve designed features or systems, built them, deployed them, and supported them in production
• A genuine appetite for aggressive automation. You get energised by removing manual steps entirely
• Some experience evaluating or using LLM-based developer tools in a real engineering environment

Desirable

• We’re looking for a Senior Engineer to join our Brokerage Services team to push hard on AI across Brokerage Services engineering: AI-assisted coding, testing and deployments, shift left on security, defect triage and observability, and the internal tooling that connects our AI tools safely to Jira, GitLab, and our CI/CD pipeline
• This is a hands-on role
• You’ll build tooling yourself, and you’ll help set how your team adopts it
• This role suits engineers with a strong grounding in software engineering practice: test-driven development, pair programming, and real ownership of systems from design through to production support, with real depth in Java or a comparable backend service ecosystem
• The fundamentals matter most: engineers who can write their own tests, review their own designs, and catch their own defects, and who use AI to extend that practice further and faster
• Growing into the person the whole group comes to for technical judgement is part of the role
• Build and maintain internal tooling that embeds AI into day-to-day engineering work: coding assistants, AI-assisted test generation, deployments, and defect triage
• Contribute to observability in the AI-assisted pipeline, so every stage shows what the tooling is doing, catching, and missing
• Identify manual steps in coding, testing, and release that can run largely unattended, and help build the automation to get there
• Split work into small, releasable pieces that ship continuously
• Work closely with a product person on your product domain, so what you build is grounded in real delivery
• Treat improving ways of working and driving AI adoption as a fundamental, ongoing part of delivering value
• Work with the test and PM function to bring AI into the testing pipeline: exploratory test generation, defect clustering, flaky-test detection, and smarter prioritisation of what to test
• Evaluate and help roll out LLM-based developer tools, for example Claude Code and similar, integrating them safely with our Jira, Confluence, and GitLab environments
• Follow and help refine standards for responsible AI use in the SDLC: data handling, prompt hygiene, and guardrails around production and customer data
• Mentor less experienced engineers on effective use of AI tooling
• Work with security and compliance to make sure AI tooling meets IG’s regulatory and data-handling requirements
• Track the metrics that show whether AI tooling is helping: cycle time, defect escape rate, test coverage, delivery turnaround. Iterate based on what the data shows

• End Date: October 26, 2026