Senior Android Engineer

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Designing and enhancing essential functionalities of the GoSpotCheck Android application utilized by retail field teams globally.

• Serving as the technical liaison to the Mobile Engineering Manager — influencing architectural choices, maintaining code quality standards, and directing the technical path for the Android team.

• Providing mentorship and assistance to fellow engineers through code reviews, pair programming sessions, and offering technical advice.

• Collaborating effectively with iOS, QA, backend, and ML/IR teams located in the US, Poland, Hungary, and Ukraine.

• Participating in cross-team technical discussions, sprint planning, and prioritization of the project roadmap.

• Recognizing and implementing enhancements in build pipelines, testing methodologies, and development processes.

• Exploring emerging Android technologies, such as Jetpack Compose, on-device machine learning, and camera/AR integrations.

⛳️ Requirements

• Over 5 years of professional experience in Android development using Kotlin.

• Strong comprehension of contemporary Android architecture patterns (MVVM, Clean Architecture, multi-module projects).

• Proficiency with Jetpack libraries (Compose, Navigation, Room, WorkManager, CameraX).

• Proven experience in mentoring other engineers or spearheading technical projects.

• Familiarity with working in international, distributed teams.

• Exceptional communication skills — capable of conveying technical trade-offs to both technical and non-technical stakeholders.

• Willingness to take responsibility beyond individual code contributions — including team processes, architectural decisions, and delivery outcomes.

• Proficiency in English: Advanced level.

🏝️ Benefits

• Opportunity to work with cutting-edge technology alongside an international team.

• Extensive range of fringe benefits: cafeteria package, home office allowance.

• Flexible Remote/Hybrid working model.

• Opportunities for learning and professional development.

• Potential pathway to a formal Tech Lead position with significant influence over team direction.

• Engagement in developing a mobile application with a large, active user base across global markets.

• Collaboration with ML and image recognition teams that are advancing the frontiers of on-device AI.

• Access to modern tools and technologies chosen by your team.