We are looking for a passionate Android Engineer to lead our team, working with a top-notch technology stack in a friendly and cozy atmosphere for one of the greatest retail companies in the USA. Our client is a top-tier fashion retailer focused on delivering exceptional shopping experiences.

And then there's Zoolatech! Just imagine a workplace and a team environment that you never want to leave once you have found it. Sound enticing? Apply to our position today and we can get you there.

We are a close-knit team of iOS & Android developers, designers, testers, and product owners collaborating to make our client's mobile applications incredible. We strive to delight our customers with each new release. We work in a high-speed, agile environment to ship features in the shortest time possible. We value energy, collaboration, and teamwork. We are constantly improving professionally, and expect the same from you.

• Lead the architecture, development, and maintenance of our Android mobile applications, ensuring scalability, performance, and long-term maintainability.

• Set technical direction for the Android codebase, making key decisions on frameworks, patterns, and tooling.

• Champion and embed AI-native development practices across the product development lifecycle — from AI-assisted planning and design through AI-augmented coding, testing, and release.

• Write clean, maintainable code and lead peer code reviews, with an excellent, hands-on understanding of core Android concepts.

• Write unit and integration tests for your code, and establish testing standards and coverage goals for the team, leveraging AI for test generation and coverage analysis.

• Work with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility, leveraging AI tools to accelerate discovery, prototyping, and estimation.

• Collaborate with designers, product owners, web service developers, and other teams to produce the best applications possible, and represent the Android team in cross-functional and planning discussions.

• Mentor and guide Android engineers through code reviews, pairing, and technical coaching, including coaching on effective use of AI coding assistants and tools.

• Evaluate and introduce new Android technologies, tools, and trends — including emerging AI-assisted development tools — and drive their adoption where they add value.

• Define and iterate on team workflows to incorporate AI-native PDLC practices (e.g., AI-assisted code generation, automated test generation, AI-powered code review, and documentation).

• Act as the primary point of contact for Android-related technical questions across teams.

• Contribute to hiring, onboarding, and performance feedback for Android team members.

• 5+ years of professional experience as an Android Engineer, including prior experience leading or mentoring engineers.

• Deep expertise in Kotlin, with a strong track record of shipping production Android apps at scale.

• Must have experience: Kotlin Coroutines, Retrofit, Android SDK, Jetpack Compose.

• Good to have experience (a plus): DI frameworks, Espresso, Modular Mobile Application Design.

• Strong, hands-on understanding of Robolectric, unit testing, and integration testing, with the ability to set testing standards across the team.

• Proven track record with Test-Driven Development (TDD) and Agile/iterative methodologies, with experience shaping team process.

• Deep knowledge of the idiosyncrasies associated with various mobile platforms, screen resolutions, and mobile OS versions, and ability to guide framework/tooling decisions for the team.

• Hands-on experience integrating AI-native tools and workflows into the product development lifecycle (e.g., Claude Code, GitHub Copilot, Cursor, or similar AI coding assistants) for code generation, review, and testing.

• Familiarity with prompt engineering practices and using AI tools to accelerate design, documentation, and technical decision-making.

• Self-directed and team-oriented, with a strong ability to lead cross-functional collaboration.

• Excellent communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.

• Demonstrated ability to mentor engineers and lead by example on technical execution, including adoption of AI-native development practices.

• English: B2 or higher, strong spoken and written.