Senior Software Engineer - (Java/AI) Brokerage Services

IG Infotech

City Of London

Hybrid

GBP 90,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work

Job summary

IG Group in London seeks a Senior Software Engineer (Java/AI) for Brokerage Services to push AI across engineering, from coding to deployments. You will build tooling, ensure safe AI integration with Jira, Confluence, and CI/CD, and mentor others while delivering robust backend systems.

The role emphasizes test-driven development, ownership of features from design to production, and a strong automation mindset within a hybrid work setup.

Qualifications

  • Extensive background as a Software Engineer with production systems ownership.
  • Strong Java backend expertise and practicality in software engineering fundamentals.
  • Fluent with test-driven development and pair programming as operating norms.
  • Demonstrated ability to design, build, deploy and support features in production.
  • Keen on aggressive automation and evaluating/using LLM-based developer tools.

Responsibilities

  • Build and maintain internal tooling that embeds AI into day-to-day engineering work.
  • Improve observability to show tool behavior across the AI-assisted pipeline.
  • Automate manual steps to enable unattended coding, testing and release.
  • Break work into small releasable pieces for continuous delivery.
  • Collaborate with product to ensure delivery-grounded features.
  • Lead AI adoption improvements as an ongoing improvement activity.
  • Integrate AI tooling with Jira, Confluence and GitLab safely and efficiently.
  • Follow standards for responsible AI use in SDLC and data handling.
  • Mentor engineers in effective AI tooling usage.
  • Coordinate with security/compliance to meet regulatory requirements.

Skills

Java backend
Test-driven development
Pair programming
Production ownership
Automation
LLM tools experience
Atlassian Jira/Confluence
MCP
Spec Driven Development

Tools

Jira
Confluence
GitLab

Job description

Senior Software Engineer - (Java/AI) 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.

Your team

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.

Your role in the Team's Success

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.

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 their team toward it deliberately.

What you'll do
  • 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.
What you'll need for this role
  • 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.
Preferred
  • Experience with MCP, agentic tooling, or Spec Driven Development.
  • Familiarity with the Atlassian ecosystem (Jira, Confluence) and its APIs.
  • Prior experience in financial services, trading platforms, or another regulated, high‑reliability environment.
The Perks

It really is more than a job. We think like a start‑up, but we deliver like a FTSE 100 - so the bar is high, and we won't pretend otherwise. We work hybrid, which means three days in the office. We'll recognise your talent and make sure that you can still have a life - at work, and outside of it. Networks, committees, awards, sports and social clubs, mentorships, volunteering opportunities, extra t

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