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- Tasks: Build APIs and UIs for banks, tackle real-world data, and ship secure production code.
- Company: Join a mission-driven FinTech startup fighting financial crime.
- Benefits: Competitive salary up to £95k, equity, and hybrid work model.
- Why this job: Make a real impact in the fight against financial fraud with cutting-edge technology.
- Qualifications: 3+ years in backend development, experience with distributed systems and messy data.
- Other info: Collaborate with a talented team and face high-stakes technical challenges.
The predicted salary is between 75000 - 95000 £ per year.
Series-A FinTech hybrid role based in the City of London (3 days per week onsite) with a salary range of £75,000 – £95,000 + Equity + Benefits.
This early-stage FinTech is on a mission to fight financial crime and reduce scams in online payments. High-ownership, mission-driven, working with sensitive financial data. This is critical infrastructure. When it fails, real people lose money.
What You’ll Do:
- Build the APIs and UIs banks plug into their payment flows.
- Connect the investigation engine to messy, real-world data (APIs, documents, scraped sources — most of it unstructured).
- Design the orchestration layer that gathers and evaluates evidence across heterogeneous systems.
- Ship reliable, secure, observable production code.
- Deploy and iterate on LLM-powered investigation flows (not just prototypes).
- Make smart build vs buy decisions and own the trade-offs.
This isn’t a feature factory. You’ll design, build, ship, own.
Tech: Kotlin (open to any JVM background), Python, Terraform, Agentic AI, cloud-native, event-driven services.
If you’ve built fault-tolerant, distributed systems before, tools matter less than judgement.
You’ll Have:
- ~3+ years building production distributed systems in a startup environment, using backend languages like Java, Kotlin, Scala, Python, C++, Rust or Go.
- ~ Experience designing external-facing APIs and working with messy, unstructured data.
- ~ Shipped AI/LLM systems beyond proof-of-concept.
- ~ Startup experience: comfortable in ambiguity, taken high ownership.
- ~ Strong instincts on trade-offs, speed vs correctness.
- ~ Computer Science degree or equivalent.
Why Join?
- Work with a highly talented team of 8 other Engineers.
- Real equity.
- High-stakes technical challenges.
- AI X distributed systems X regulated finance.
If you want to build fast, reliable AI infrastructure that banks depend on, apply with your CV.
Backend Engineer (JVM) - FinTech Startup - Up to £110k in City of London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer (JVM) - FinTech Startup - Up to £110k in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work at startups. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving APIs and distributed systems. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to backend engineering and be ready to discuss your past experiences in detail.
✨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, it shows you’re genuinely interested in joining our mission to fight financial crime.
We think you need these skills to ace Backend Engineer (JVM) - FinTech Startup - Up to £110k in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with distributed systems and any relevant tech like Kotlin or Python. We want to see how you can contribute to our mission!
Showcase Your Projects: Include specific examples of projects you've worked on, especially those involving APIs or AI systems. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your experiences. We appreciate clarity as much as you do!
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’s super easy!
How to prepare for a job interview at Few&Far
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Kotlin and Python. Brush up on your experience with distributed systems and APIs, as you'll likely be asked to discuss specific projects where you've used these skills.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in previous roles. Think about examples where you made smart build vs buy decisions or dealt with messy, unstructured data. This will demonstrate your judgement and ability to handle high-stakes challenges.
✨Understand the Company’s Mission
Familiarise yourself with the company's mission to combat financial crime. Be ready to express why this mission resonates with you and how your background aligns with their goals. Showing genuine interest can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their approach to building reliable, secure systems or how they handle ambiguity in a startup environment. This shows you're not just interested in the job, but also in contributing to their success.