UK, Europe, USA
Backend recruitment focused on production systems, sound data decisions and maintainable service design.
Technical screening by developers and CTOs is included.
We recruit backend engineers across Node.js, Python, Ruby on Rails, C#, .NET Core, PHP and Go. Our technical screening examines API design, data modelling, service boundaries, reliability and the candidate’s ability to work inside a real production environment.
When to hire Backend developers: A backend team adding specialist depth. A platform moving beyond its first architecture. A product with complex integrations or data requirements.
Backend titles often hide very different jobs. We clarify the language, data, scale, integration and operational expectations before sourcing begins.
Senior engineers ask candidates to trace request handling, error propagation and concurrency in their chosen runtime, then discuss how they structure code for testing and change.
We ask candidates to model a realistic domain, reason about indexes and transaction boundaries, diagnose a slow query and justify relational, document or cache choices.
We test API contracts, idempotency, queue failure handling and service boundaries by asking how the system behaves during retries, partial outages and schema changes.
We look for engineers who think beyond the immediate ticket, remain calm when production systems fail and make careful changes while communicating contracts and risks clearly to dependent teams.
We test engineering judgement in the context of the system the candidate will maintain, scale or help design.
API contracts, boundaries, failure modes and maintainable application structure.
Schema design, query behaviour, consistency and appropriate storage choices.
Testing, observability, deployment awareness, security and debugging.
Tool names are not enough. Across every role, we look for technical depth, disciplined use of AI and an honest approach to solving unfamiliar problems.
We keep asking why and how until we reach the underlying behaviour. Candidates should understand what their framework, runtime, database, browser, cloud service or design tool is doing for them, how they work behind the scenes (and why), and how they would investigate a failure without relying on copying fixes from ChatGPT.
We expect candidates to use AI productively, but never as a substitute for judgement. They need to explain how they verify generated code, designs and tests, protect confidential data, catch unsafe assumptions and remain accountable for the result. We expect them to use MCPs, skills, and goals. So basically - we are looking for structured AI-assisted work, not vibe coding, vibe designing or vibe testing.
Strong candidates have a can-do mindset and will investigate, experiment and learn when the answer is not obvious. At the same time, they are fair and transparent about what they know, what they have not done before and when they need support.
Give us a few details about the role and your hiring plans. We'll assess your needs and get back to you with a practical next step.
Our recruitment experience includes Node.js, NestJS, Express, Python, Ruby on Rails, C#, .NET Core, PHP and Go, plus relational and NoSQL databases.
Yes. The screening can cover RESTful API design, data modelling, ORM use, database performance and production debugging.
Yes. We adapt sourcing and assessment to the required seniority, ownership level and architecture responsibilities.