Frontend
We ask candidates to design a feature from UI state through API calls, explain rendering choices and identify accessibility, performance and error states before coding.
- React
- Next.js
- Angular
- TypeScript
- Tailwind CSS
- Material UI
UK, Europe, USA
Full-stack developer recruitment
Full-stack recruitment that verifies depth across the parts of the stack your role actually owns.
Instruct us
Technical screening by developers and CTOs is included.
Full-stack recruitment without shallow keyword matching
We recruit full-stack developers for roles that combine product-facing frontend work with backend services, data and deployment responsibilities. The assessment identifies where a candidate has genuine depth and whether that depth matches the balance your team needs.
When to hire Full-stack developers: An early product team needing broad ownership. A scale-up adding end-to-end delivery capacity. A team seeking a frontend-leaning or backend-leaning generalist.
Technologies, requirements and soft skills
A full-stack title can mean a frontend engineer with API skills, a backend engineer who ships interfaces, or an end-to-end product owner. We define that balance before the search.
Backend
We probe API boundaries, validation, authentication, asynchronous work and failure handling, with follow-up questions based on the runtime they claim to know deeply.
- Node.js
- NestJS
- Express
- Python
- Ruby on Rails
- .NET Core
Data and delivery
We ask how data is modelled, migrated and protected, then follow the feature through testing, deployment, monitoring and rollback in a production environment.
- PostgreSQL
- MongoDB
- Redis
- Prisma
- Docker
- CI/CD
- AWS
- Azure
- GCP
Soft skills and working style
Strong full-stack engineers know when depth matters, when a simple solution is enough and how to move between product, interface, service and data concerns without losing accountability.
- End-to-end ownership
- Pragmatism
- Prioritisation
- Context switching
- Cross-functional communication
How we assess full-stack candidates
We weight the interview around the actual role rather than expecting identical expertise in every layer.
Depth profile
Where the candidate is strongest, where they need support and whether that balance fits the team.
End-to-end reasoning
How interface, API, data and deployment choices affect one another.
Product delivery
The ability to scope, build, test and release useful software with appropriate quality.
What every candidate needs to demonstrate
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.
Understands what happens behind the scenes
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.
Uses AI with engineering discipline
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.
Combines initiative with honesty
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.
Looking to hire?
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.
Frequently Asked Questions
We define the role from your work, not the title. That includes the expected frontend-backend balance, data ownership, deployment responsibility and required level of autonomy.
Yes. We tailor the interview to the role and make the candidate’s strongest and weakest layers clear.
Our experience includes React, Next.js and Angular frontends with Node.js, Python, Ruby on Rails or .NET backends, plus SQL, NoSQL and cloud tooling.