Staff Engineer - Brokerage Services

Job Title Staff Engineer - Brokerage Services Job Description So, who are we? IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses.

The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – the future gets built here.

We’re looking for a Staff Engineer to push hard on AI across Brokerage Services engineering: AI-assisted coding, testing and deployments, defect triage and observability, and the internal tooling that connects our AI tools safely to Jira, Git Lab, and our CI/CD pipeline. This is a hands-on, cross-team role. You’ll build tooling yourself, and you’ll raise the bar for how aggressively every team in the group adopts it.

This role suits experienced engineers with a deep grounding in software engineering practice: test-driven development, pair programming, and full ownership of systems from design through to production support, in a mature Java or a comparable backend service ecosystem  should be someone other engineers already come to for technical judgement. We want people who write their own tests, review their own designs, and catch their own defects, and who use AI to extend that excellent practice further and faster.

Our ambition: engineering that runs itself. The long-term goal is a pipeline where AI agents handle the bulk of coding support, testing, and triage end-to-end, largely unattended, with engineers stepping in for genuine judgement calls and exceptions. We’re early on that path today, and we want someone in this role who treats the destination as real and pushes the group toward it deliberately.

• Design, build, and maintain internal tooling that embeds AI into day-to-day engineering work: coding assistants, AI-assisted test generation, deployments, and defect triage.
• Build observability into the AI-assisted pipeline itself, so every stage shows what the tooling is doing, catching, and missing.
• Identify the manual steps in coding, testing, and release that can run largely unattended, and build the automation to get there.
• Split work into small, releasable pieces that ship continuously.
• Work closely with a product person on one of our product domains, 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.
• Partner 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, pilot, and roll out LLM-based developer tools, for example Claude Code and similar, integrating them safely with our Jira, Confluence, and Git Lab environments.
• Set standards for responsible AI use in the SDLC: data handling, prompt hygiene, and guardrails around production and customer data.
• Mentor engineers across Brokerage Services on effective use of AI tooling, and act as the go-to technical authority on AI-assisted engineering practice.
• Work with security and compliance to make sure AI tooling meets IG’s regulatory and data-handling requirements.
• Define and 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.

• Signifi…