ABOUT US

It’s hard to build a reliable system. It’s harder to make sure that what you’ve built is really reliable.
Synthesized is redefining software testing with agentic AI. Our platform automates test data, test cases, and test environments - empowering enterprise teams to ship faster, reduce compliance risks, and modernise QA at scale.
Our products are used by some of the world’s leading organizations, such as Deutsche Bank, UBS, the European Commission, and others.
We’re an ambitious VC-backed startup, having just gone through Series A with leading global investors including IQ Capital, Seedcamp, and Deutsche Bank. We have ambitious growth plans for 2025, and we are so keen for you to join us on the journey.

THE ROLE

We’re hiring a Backend Engineer (Kotlin) to help scale the control-plane of our fast-growing SaaS platform.
As customer adoption accelerates, we’re expanding the core platform to support new features, better performance, and rock-solid reliability. You’ll join a lean, high-impact team, reporting to the Backend Team Lead, and work closely with Product and Frontend to deliver end-to-end value.
This is a hands-on role with plenty of ownership - perfect for someone who wants to shape architecture, build resilient systems, and make their mark on a product used by teams around the world.

WHAT YOU’LL DO

• Build and maintain scalable Spring Boot services in Kotlin, with clean architecture and fault tolerance in mind.
• Design and evolve data models in PostgreSQL, manage schema migrations via Liquibase, and work with jOOQ for type-safe access.
• Treat OpenAPI contracts as a source of truth - co-own and enforce across teams, enabling automated code generation.
• Practice shift-left testing with solid test coverage (JUnit, Testcontainers, MockMVC).
• Contribute to a documentation-as-code culture - writing clear docs alongside new features.
• Help shape and refine our CI/CD workflows with GitHub Actions.
• Collaborate daily with Product, Design, and Frontend to clarify stories and deliver iteratively.
• Participate in code reviews, mentor others, and contribute to architectural discussions.
• Monitor production systems, triage incidents, and bake learnings back into the system.