Software Engineer II - Client Multiplatform Engineer
FanaticsAbout the role
Overview
At Fanatics Betting & Gaming (FBG), a core division of Fanatics' mission to establish the ultimate end-to-end digital sports platform, we're crafting a world where every aspect of a sports fan's passion is catered to.
On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation: engineers passionate about min/maxing their workflows who actively experiment with Claude Code, Cursor, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards. If you have strong opinions about AI-augmented development workflows backed by real experience, we want to talk with you.
This SE II Client Multiplatform Engineer role entrusts you with ownership over the development of both the Kotlin Multiplatform & Compose Multiplatform UX.
Responsibilities
- Contribute to the development, testing, documentation, and deployment of high-quality, scalable software into production
- Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to contribute to team strategy and provide input on the direction of the organization
- Execute the end-to-end development of complex features and systems.
- Conduct thorough code reviews to enhance code quality
- Actively participate in team planning and design discussions, contributing innovative approaches to solve technical challenges and optimize design patterns
- Drive improvements to software quality, testability, operational metrics, and team documentation, raising the standard within the team
- Leverage AI tools to accelerate development velocity while maintaining code quality standards
- Follow and contribute to team standards for AI tool usage (prompt patterns, code review checklists, validation strategies)
- Track and share insights on AI tool effectiveness through concrete metrics (PR velocity, bug rates, test coverage)
- Identify and prevent common AI-generated code pitfalls (over-abstraction, missing edge cases, security vulnerabilities)
Qualifications
- 1-3 years building highly scalable Android apps
- Good Understanding of Kotlin language features especially coroutines, flows, idioms, and best practices with the ability to contribute to best practices.
- Basic understanding of reactive programming patterns and asynchronous data processing
- Familiarity of Gradle build systems, including multi-module projects, custom plugins, and dependency management
- Familiarity with CI/CD pipelines, SDK versioning strategies, and automated release management for mobile applications and libraries
- The bulk of our frontend business logic strategy relies on Kotlin Multiplatform (KM). You should be comfortable learning and developing business logic within this ecosystem.
- Experience with Jetpack Compose
- Android domain expertise, knowing the platform best practices, trends, and end user considerations
- Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better
- Demonstrated experience using AI tools (Claude Code, Cursor, Copilot, etc.) to ship production code
- Can demonstrate specific examples of workflow improvements (e.g., "reduced boilerplate generation time by 40%")
- Has developed personal strategies for validating AI-generated cod
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s