SDE 1 : Android Engineer

About FloBiz

FloBiz is India’s first neobusiness platform, revolutionizing the way Small and Medium-sized Enterprises (SMEs) operate in India. Our mission is to digitize 65 million MSMEs in the country, and we are well on our way to achieving this goal. Our flagship product, myBillBook, has already empowered over 10 million businesses across 2000+ towns with its billing, accounting, inventory management, and payment collection solutions. With over $25 billion in annual transactions, we are proud to be a rapidly growing tech startup serving the needs of SMBs in India.

Key Responsibilities:

• Design, develop, maintain and optimise features and components of the Flobiz Android app, with a focus on quality, performance and reliability.
• Work with a builder mindset and collaborate across cross-functional teams to understand problems, unblock execution and accelerate delivery. No role silos.
• Use LLM-assisted tools (Claude, Cursor, AI-powered code review and testing) as a core part of how you build, to improve development velocity and code quality.
• Take ownership of the components you build, including edge cases, testing and production issues, and communicate progress and blockers transparently.
• Write clean, readable and maintainable Kotlin code, and understand every change you ship, including AI-assisted code.
• Contribute to feature discussions and engineering best practices, and grow your craft with support from senior engineers.

Required Qualifications:

• 2+ years of experience in Android development, building and shipping applications.
• BE/B.Tech in Computer Science or a related technical field (or equivalent practical experience).
• Strong software development skills in Kotlin.
• Working experience with Android Studio, Jetpack Compose, and Hilt-based dependency injection
• Good understanding of Android architecture, lifecycle, Coroutines and modern UI development and StateFlow/Flow-based state management.
• Ability to read and understand existing code before changing it, which matters more when working with AI tools, not less.
• Working knowledge of Git and code-review practices.
• Understanding of RESTful APIs and integrating backend services.
• Comfort using LLM-assisted development tools, or a strong eagerness to adopt them.
• A fast learner who is comfortable working with ambiguity and taking ownership of problems.
• Effective communication skills to coordinate with cross-functional teams.