Senior Java Engineer (AI Enablement)

Senior Java Engineer (AI Enablement)

Full-Time 80000 - 100000 € / year (est.) No home office possible
Deepstreamtech

At a Glance

  • Tasks: Join a pioneering team to modernise legacy services using AI and cutting-edge tech.
  • Company: IG Group, a leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on hands-on delivery and measurable impact.
  • Why this job: Be at the forefront of AI development, transforming productivity and code quality.
  • Qualifications: 8+ years in software engineering with strong Java and AI experience.

The predicted salary is between 80000 - 100000 € per year.

Requirements

  • 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
  • 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
  • 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
  • Delivery-focused: Ship working modernised services, don't just build tools
  • Hands-on: Write code daily, don't 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

What the job involves

Join IG Group's newly formed Service Modernisation & AI team as a pioneer of AI-first development practices in financial services. You'll modernise and simplify critical legacy services using cutting-edge AI tooling while demonstrating what's possible when AI is deeply integrated throughout the development lifecycle. This is a hands-on engineering role focused on delivery. You'll ship modernised services in fast cycles while showing other engineers how AI transforms productivity and code quality. You will be part of a small team to start, 5-6 senior engineers and an 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.

Service Modernisation (50%)

  • Use AI to analyse codebases, understand dependencies, and extract clean APIs
  • Work on high-impact legacy services that block divisional delivery speed
  • Implement strangler fig patterns and other proven migration approaches
  • Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities
  • 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
  • Demonstrate measurable improvements: faster APIs, better performance, higher reliability

AI Implementation & Automation (50%)

  • 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
  • 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 you've built
  • Demonstrate when to use AI vs when human judgement is critical

Senior Java Engineer (AI Enablement) employer: Deepstreamtech

At IG Group, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. As a Senior Java Engineer in our Service Modernisation & AI team, you'll have the opportunity to work with cutting-edge AI technologies while contributing to meaningful projects that enhance financial services. We offer a dynamic work environment that encourages professional growth, hands-on coding, and the chance to lead transformative initiatives, all within a supportive team that values your contributions.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Java Engineer (AI Enablement)

Tip Number 1

Network like a pro! Reach out to your connections in the tech world, especially those in AI and Java. A friendly chat can lead to insider info on job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and modernisation. This is your chance to demonstrate your hands-on experience and how you've used AI to boost productivity.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of microservices and API design. Be ready to discuss your experience with AI tools like Claude Code or GitHub Copilot, and how they’ve helped you in past projects.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Java Engineer (AI Enablement)

Java Backend Expertise
API Design
Microservices Architecture
Strangler Fig Patterns
Service Decomposition
Legacy Migration Strategies
Model Context Protocol (MCP)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your 8+ years of Java backend expertise and any experience with modernising production systems. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!

Showcase Your AI Experience:Since this role is all about AI enablement, include specific examples of how you've implemented AI in your past work. Mention tools like Claude Code or GitHub Copilot and any measurable productivity improvements you've achieved using AI.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experience with API design, microservices, and legacy migration strategies. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Deepstreamtech

Know Your Java Inside Out

Make sure you brush up on your Java backend expertise. Be ready to discuss your experience with modernising production systems and how you've tackled API design and microservices architecture in the past. Prepare specific examples that showcase your hands-on coding skills.

Showcase Your AI Experience

Since this role heavily involves AI, be prepared to talk about your experience with AI development tools like Claude Code or GitHub Copilot. Highlight any projects where you've implemented AI in CI/CD pipelines and how it improved productivity. Concrete examples will make a strong impression!

Demonstrate Delivery Focus

This position is all about shipping modernised services quickly. Be ready to discuss how you've delivered high-impact legacy services in fast cycles. Share metrics or outcomes from your previous work that demonstrate your ability to achieve measurable improvements.

Collaborate and Communicate

As you'll be working in a small team, emphasise your collaborative skills. Talk about how you've worked across divisions and time zones, and how you’ve trained others through your work. Communication is key, so be prepared to share how you ensure everyone is on the same page.