Android development
We ask candidates to reason through lifecycle recreation, coroutines, state and memory behaviour, then explain how their architecture keeps platform concerns testable.
- Kotlin
- Android
- Mobile application architecture
UK, Europe, USA
Kotlin developers screened for Android platform depth, application quality and connected-product reliability.
Technical screening by developers and CTOs is included.

We recruit Kotlin developers for Android applications, including roles involving Bluetooth and connected products. Technical screening examines platform fundamentals, application architecture, networking, testing, release quality and practical device integration.
When to hire Kotlin developers: A native Android application team. A connected-device mobile product. A team moving from cross-platform to deeper native capability.
We clarify the Android versions, architecture, device requirements, integrations and release ownership before evaluating candidates.
We ask candidates to reason through lifecycle recreation, coroutines, state and memory behaviour, then explain how their architecture keeps platform concerns testable.
We probe scanning, pairing, permissions, reconnect logic and protocol state by asking how the app behaves when devices disappear or send incomplete data.
We ask candidates to divide coverage across unit, integration and device tests, then diagnose a production-only crash using logs, traces and reproducible state.
Mobile engineers need patience with device-specific failures, respect for release quality and the ability to explain platform constraints clearly to product, design and backend colleagues.
The interview focuses on Android behaviour and the operational realities of shipping to users and devices.
Lifecycle, concurrency, state, performance and platform conventions.
Separation of concerns, networking, persistence and maintainable feature delivery.
Bluetooth or IoT integration, error recovery, testing and production diagnostics.
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.
Yes. We recruit Kotlin developers for native Android roles and assess the platform knowledge required by the application.
Yes. Our recruitment experience includes mobile roles involving Bluetooth and connected-product integrations.
The assessment can cover Android lifecycle, application architecture, networking, testing, performance and device integration.