Zopa is a pioneering financial services company with a mission to redefine banking. We are looking for Software Engineers who will write clean, reliable code and build scalable, resilient services within a product‑focused Agile team.
Engineering Challenge
Our Software Engineers help solve real financial problems for millions of customers. You will work on distributed transaction processing systems, build services on Kotlin with Kafka, Kubernetes, Docker, and AWS Aurora PostgreSQL, and collaborate across product and design.
Your Impact
- Write clean, reliable, maintainable backend code in Kotlin
- Work on scalable cloud‑based systems within a product‑focused Agile team
- Collaborate with engineers, product managers and designers to build and ship features
- Participate in planning, technical discussions and code reviews
- Build well‑tested services and contribute to continuous delivery
- Own work from development to production
- Continuously learn and develop your skills in a supportive environment
Your Toolkit
- Hands‑on experience with C#, open to learning Java or Kotlin
- Commitment to clean code, solid design and testing
- Curiosity, eagerness to learn and not afraid to ask questions
- Enjoy solving problems within a collaborative team
- Desire to build products that impact customers
- Clear communication and comfort contributing to team decisions
- Excitement about modern engineering practices such as CI/CD and cloud‑native tools
Our Engineering Culture
- Customer impact over unnecessary complexity
- Team success over individual heroics
- Operational ownership, not just feature delivery
- Continuous improvement through honest feedback
Added Bonus
- Experience with fintech or banking is a plus, but we value problem‑solvers from all backgrounds
Work Location
- Hybrid role: present at our Manchester office 2‑3 days a week; remote from abroad for up to 120 days a year (subject to right to work).
Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture. We may use AI tools to support parts of the hiring process, but final hiring decisions are made by humans.
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