Join IG Groups newly formed Service Modernisation & AI team as a pioneer of AI-first development practices in financial services. Youll modernise and simplify critical legacy services using cutting-edge AI tooling while demonstrating whats possible when AI is deeply integrated throughout the development lifecycle.
This is a hands-on engineering role focused on delivery. Youll ship modernised services in fast cycles while showing other engineers how AI transforms productivity and code quality.
Your role in the Teams Success:
You will be part of a small team to start, 5-6 senior engineers and embedded architect, and scale with contractors as needed based on the pipeline and opportunities. You will be hands-on in code using the latest in AI engineering practices.
responsibilities :
Service Modernisation (50%)
Modernise Legacy Services Using AI
Work on high-impact legacy services that block divisional delivery speed
Use AI to analyse codebases, understand dependencies, and extract clean APIs
Implement strangler fig patterns and other proven migration approaches
Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities
Ship Results Quickly
Complete service modernisations in fast cycles with monthly milestones
Use AI to accelerate every phase: analysis, refactoring, testing, documentation
Hand off modernised services to Platform Services or divisions with clear ownership
Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance
Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation
Build automation using Claude Code, GitHub Copilot, and LLM APIs
Develop reusable AI tooling that other engineers can adopt
Demonstrate AI-First Development
Use AI for all coding tasks: refactoring, test creation, documentation, debugging
Achieve measurable and significant productivity improvements through AI integration
Document patterns and share learnings through your work
Train teams during service handoffs on AI-enabled workflows youve built
Demonstrate when to use AI vs when human judgement is critical
requirements-expected :
Backend Engineering
8+ years software engineering with Java backend expertise
Experience modernising production systems at scale
Strong API design and microservices architecture knowledge
Understanding of strangler fig patterns, service decomposition, and legacy migration strategies
AI/LLM Implementation (Critical Differentiator)
Hands-on experience building with Model Context Protocol (MCP)
Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work
Experience implementing AI in CI/CD pipelines (code review, testing, security scanning)
Built agentic AI solutions or AI-powered automation tools
Understanding of prompt engineering, model selection, and LLM capabilities/limitations
Proven AI Impact
Achieved measurable productivity improvements using AI in development
Implemented AI-assisted refactoring, test generation, or documentation at scale
Experience with AI code analysis and automated remediation
Track record of shipping production systems built with AI assistance
Culture & Leadership Style – What Matters Most
Delivery-focused: Ship working modernised services, dont just build tools
Hands-on: Write code daily, dont just architect or advise
Pragmatic: Use AI to go faster, not to be clever
Teacher through doing: Others learn by seeing your PRs and shipped work
Measurement-driven: Track your AI productivity gains and share data
Collaborative: Work across divisions and time zones professionally
offered :
Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
Home office equipment reimbursement
Performance relate bonus
Private medical cover for you and your family/partner (Medicover)
Multikafeteria system (you can choose a multisport card, vouchers, etc.)
Life insurance (Generali)
LinkedIn Learning platform free access
Share Plans for Employees
Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse, and inclusive culture
Career-focused technical and leadership training in-class and online, incl. unlimited access to LinkedIn Learning platform
Well-being events as well as Employee Assistance Programme
Summer picnic, New Year party and other social events
3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work
App-based parking spots booking system
Stretching sessions
Wellbeing weeks
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
