Senior C# Software Engineer – Manchester
Zopa · Manchester, United Kingdom · 6mo ago
We care deeply about great engineering, which is why our core stack is Kotlin, running on a modern platform with Kafka, Kubernetes, Docker and AWS Aurora Postgres. But great engineers aren’t defined by a single language which is why we are agnostic with our hiring.
We want the right people, not the 'right' language, so if you come from a C#/.NET background, bring solid fundamentals, and have an appetite for learning something new, we’ll invest in you, help you grow your skills and confidently step into our Kotlin ecosystem.
Your Impact
- Writing clean, reliable and maintainable backend code using Kotlin
- Working on scalable cloud-based systems within a product-focused Agile team
- Collaborating with engineers, product managers and designers to build and ship features
- Taking part in planning, technical discussions and code reviews
- Building well-tested services and contributing to continuous delivery
- Taking ownership of your work — from development to production
- Continuously learning and developing your skills in a supportive environment
Your Toolkit
- You’ve got some solid hands-on experience with C# but open to learning Java or Kotlin
- You care about writing good quality code and value clean design and testing
- You’re curious, eager to learn and not afraid to ask questions
- You enjoy solving problems and working as part of a collaborative team
- You want to build things that have a real impact on customers
- You communicate clearly and are happy contributing to team decisions
- You’re excited by modern engineering practices like 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
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.