Senior Android Developer (Remote)

We're looking for a Senior Android Engineer or Tech Lead who thinks like a product builder - someone who cares deeply about the "why" behind what they're building, not just the tickets in the backlog.

You'll be embedded in a cross-functional domain team (Backend, Mobile, ML/AI, QA, Design, and Product) and own the end-to-end development of features that genuinely matter: company accounts and cash flows, banking transactions, card issuance and management, and AI-enabled accounting. You'll help shape architecture decisions, raise the bar on engineering quality, and mentor the engineers around you.

If you're energized by working at the intersection of great mobile engineering and real product impact - this is the role.

What You’ll Do

• Design and build new features for our Android application, used daily by business owners across Europe.
• Architect and implement reliable, intuitive solutions for:
• Multi-account cash flow management
• Banking transactions and payments
• Physical and virtual card issuance, activation, and control
• AI-powered accounting automation
• Build polished, responsive UIs using Jetpack Compose.
• Take ownership of code quality, performance, and stability - automated testing and thorough code reviews are non-negotiable.
• Collaborate closely with Backend, QA, Design, and Product - you'll be shaping solutions end-to-end, not just implementing specs.
• Drive technical decisions within your domain, challenge assumptions when needed, and proactively identify opportunities to build better.
• Contribute to CI/CD pipelines, tooling, and mobile best practices across the team.

Who You Are

You're pragmatic and have a proven track record of shipping products that matter. You communicate clearly across disciplines and thrive in a cross-functional environment where everyone is solving the same customer problem together.

Your experience includes:

• Strong knowledge of Kotlin (Java knowledge is a plus) and 5+ years of commercial Android development.
• Deep understanding of OOP, SOLID, and Clean Architecture.
• Solid experience with presentation layer patterns - MVI, MVVM, and MVP - and the ability to choose the right one for the context.
• Hands-on experience with our core stack:
• Reactive programming & async: RxJava, Kotlin Coroutines / Flow
• Dependency injection: Dagger 2, Hilt, or Koin
• Networking: Retrofit
• Navigation: Cicerone, Jetpack Navigation Component
• Modern UI: Jetpack Compose
• Practical experience with Firebase (FCM, Analytics, Crashlytics).
• Experience with Feature-module architecture in production.
• Confidence with Git / GitLab, including setting up and maintaining GitLab CI/CD.
• A builder's mentality - you care about the product, the users, and the outcomes, not just the code.
• Clear, concise communication in English across technical and non-technical audiences.

Nice to Have

• Background in fintech or experience with financial products - you understand the stakes.
• Solid grasp of mobile security best practices (especially critical in our domain).
• Experience profiling and optimizing UI performance - reducing overdraw, improving recomposition efficiency in Jetpack Compose, and hitting smooth 60/120fps rendering.
• Hands-on work with performance tooling: Android Profiler, Perfetto, Baseline Profiles, or similar.
• Published apps on Google Play you're proud of.
• An active GitHub profile with code you're happy to share.
• Hands-on experience with AI agents and LLM tools (Claude, Cursor, Copilot, etc.) - setting up agent environments, writing prompts, skills, and behavioral rules.
• Experience with AI-powered IDE tools (Cursor, Windsurf, GitHub Copilot, Claude Code, etc.) - including agent mode, rules files configuration, and integrating AI into the daily development workflow.
• Understanding of model capabilities and limitations - knowing which model fits which task and how to manage the context window effectively.
• Ability to evaluate and verify AI-generated output - using automated tests, linters, and critical review to catch hallucinations and errors.
• Awareness of AI security risks - prompt injection, data leakage, and safe handling of untrusted inputs in agentic workflows.