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- Tasks: Design and build innovative FX Trading applications with AI-driven features.
- Company: Leading financial services firm in a dynamic tech environment.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the world of finance and AI.
- Qualifications: Strong Java skills and experience in software development; financial services background preferred.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 75000 - 90000 £ per year.
Duration: 10 months contract
Pay: PAYE Rate £632.91 / Umbrella Rate £750
Location: 4 days onsite – London
Full‑Stack Engineer with strong Java skills to design and build features for FX Trading applications, including AI‑driven capabilities that enhance decisioning, automation, and user experience.
Qualifications
- Bachelor’s degree in computer science, engineering, or related discipline; or equivalent work experience.
- 5–9 years of professional software development experience; experience in financial services—particularly FX Trading applications—is highly desirable.
- Excellent communication skills and proven ability to work within agile, cross‑functional teams.
Core Technical Skills
- Backend: Strong Java development, Spring/Spring Boot, multi‑threaded and mission‑critical services, RESTful APIs, microservices, messaging (Kafka/MQ), and concurrency patterns.
- Frontend: Angular; exposure to React is a plus. Proficiency in TypeScript and modular UI design is beneficial.
- Data: Experience with relational databases (Oracle/SQLServer), SQL proficiency, schema design, query optimization; familiarity with caching (Redis/Hazelcast) and API contract testing.
- Shift‑left quality mindset and risk‑based test planning.
- Observability & reliability: Strong debugging/troubleshooting habits using logs and traces; awareness of metrics, distributed tracing, and resiliency patterns.
AI
- Experience integrating AI capabilities and workflows into existing production systems is desired.
- Familiarity with Machine learning concepts (model versioning, evaluation, monitoring, drift detection, CI/CD for models, feature stores) and collaboration with data science/ML engineering.
- Practical exposure to AI frameworks/platforms.
- Understanding of responsible AI practices.
- Experience effectively using AI tools to accelerate development (ClaudeCode, CodeX, Windsurf, Copilot).
Expected Scope of Role
- Consult with Product, Sales, Trading, and Operations to design and develop backend and frontend features for FX Trading applications, including AI‑augmented workflows (e.g., smart recommendations, event classification, intelligent automation).
- Program well‑designed, testable, efficient code across the stack (Java/Spring Boot, Angular/TypeScript).
- Analyze, design, and develop robust test suites and test‑automation (unit, integration, contract, API/UI, performance).
- For AI components, define evaluation metrics and create automated checks for model output quality and drift.
- Reduce technical debt in backend services and shared libraries; improve modularity, observability, and operability.
- Participate in code reviews; uphold secure coding practices and performance optimization for low‑latency, high‑throughput use cases.
- Integrate software components into a cohesive, production‑ready system; design clear API contracts and backward‑compatible changes.
- Troubleshoot, debug, and upgrade existing systems; instrument features for metrics, logs, and traces to enable rapid issue isolation.
- Participate in deployment processes following all change controls; champion “production‑ready commits” via CI/CD gates, feature flags, and safe rollout/rollback strategies.
- Provide recommendations for continuous improvement in architecture, developer experience, testing strategy, and release practices.
- Collaborate with engineers and data scientists to elevate technology standards, ensure consistent best practices, and align AI features to measurable user and business outcomes.
Full Stack Engineer – Java – AI - Trading in Wolverhampton employer: Atrium (EMEA)
Contact Detail:
Atrium (EMEA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer – Java – AI - Trading in Wolverhampton
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, tech conferences, or even local coding events. You never know who might have a lead on that Full Stack Engineer role you’re after.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Java and AI. Make sure to include any FX Trading applications you've worked on. This is your chance to shine and demonstrate what you can bring to the table!
✨Ace the Interview
Prepare for technical interviews by brushing up on your Java skills and understanding of AI concepts. Practice coding challenges and be ready to discuss your past experiences in detail. Confidence is key, so show them you’re the right fit!
✨Apply Through Us
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Full Stack Engineer – Java – AI - Trading in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Java skills and experience with FX Trading applications. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experience with AI and software development makes you a perfect fit for our team.
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention your experience with Spring Boot, Angular, and any AI frameworks you've worked with. We love seeing concrete examples of your work!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Atrium (EMEA)
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Java, Spring Boot, and Angular. Brush up on your knowledge of RESTful APIs and microservices, as these are crucial for the role. Be ready to discuss your experience with multi-threaded services and how you've tackled challenges in those areas.
✨Showcase Your AI Experience
Since the role involves integrating AI capabilities, be prepared to talk about any projects where you've used AI tools or frameworks. Highlight your understanding of machine learning concepts and how you've collaborated with data science teams to enhance applications.
✨Demonstrate Agile Mindset
This position requires working within agile, cross-functional teams, so share examples of how you've successfully contributed in such environments. Discuss your approach to code reviews, testing strategies, and how you ensure quality in your work.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.