Senior Android Engineer

A global technology company building the world’s most accessible financial services is looking for a Senior Android Engineer. The engineer will join the elite team of Android engineers developing features for the large global user base. The company has raised more than $300mn from visionary investors and channels its services to millions of customers around the world who are disregarded by traditional financial institutions. This will be a great opportunity to work with a reputable team and contribute to the life-changing financial services app.

Job Responsibilities:

• Work actively to provide customer-focused features that prioritize polish, offer stability, and security
• Help deliver complex features for current and future supported countries
• Offer guidance when integrating with external partners (tracking, payment/KYC, support, etc.)
• Go through design documents, perform code reviews, and analyze implementation choices from other technical teams
• Contribute to refactoring the current codebase to gain better abstraction and modularization
• Manage, maintain, and improve the automation tests to comply with code coverage targets

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant software engineering experience
• Solid expertise in native Android development
• 2+ years coding proficiency in programming languages like Java and Kotlin
• Competency in developing and launching large-scale consumer mobile applications
• Thorough understanding of the Android platform’s performance, strengths, and trade-offs
• Proficiency working with projects that use dependency injection, preferably Dagger 2
• Familiarity with reactive development frameworks like RxJava
• Basic understanding of REST API development
• In-depth knowledge of software architecture concepts like MVP, MVVM, and Clean Architecture
• Experience with Agile development processes like Scrum
• Excellent skills in prioritization and communication in a fast-paced environment
• Experience in predictive analysis and machine learning will be a bonus
• Fluent in spoken and written English communication