Senior Java/Kotlin Software Engineer - Manchester
Zopa · Manchester, United Kingdom · 1y ago
Your Impact
- Designing, building and running scalable backend systems using Kotlin and AWS
- Contributing to technical direction, team practices and architectural decisions
- Collaborating closely with product managers, designers and other engineers
- Mentoring junior engineers and helping to raise the technical bar
- Owning your team’s code, quality and delivery
- Taking part in the full SDLC — including operating your own services in production
- Writing well-tested, clean code
- Making smart trade-offs between speed, quality and risk to deliver customer value quickly
Your Toolkit
- Strong backend engineering experience using Kotlin or Java in a production environment
- Passionate about building reliable, high-quality products — not just writing code
- Comfortable working on distributed systems with scale and complexity
- Advocates for testing, clean code, and automation throughout the development process
- Understands trade-offs in product delivery and values pragmatism
- Enjoys solving problems collaboratively and mentoring others
- Clear communicator with experience working cross-functionally
- Excited by fast-moving environments and full ownership of your work
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
Our approach to AI in interviews
At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs.
Because of that, we want to be transparent about how we think about AI use during our hiring process.
Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other.
Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.