Software Engineer III - Client Multiplatform Engineer

United States

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, Git Hub 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 III Client Multiplatform Engineer role entrusts you with significant ownership over the development and optimization of both the Kotlin Multiplatform & Compose Multiplatform UX. You'll lead by example, establishing best practices for AI-assisted development while building systems that handle millions of events daily.

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 technical implementation of complex features and systems, from ideation and architecture to deployment and refinement across backend & frontend.
• Partner closely with product, design, and other stakeholders to make impactful technical decisions that align with both business goals and long-term scalability
• Participate in incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues
• Proactively identify and remove roadblocks, supporting cross-team collaboration to maintain momentum on complex projects
• Conduct thorough code reviews, sharing expertise 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

• 3-5 years building highly scalable Android apps
• Knowledge of Kotlin language features especially coroutines, flows, idioms, and best practices with the ability to contribute to best practices.
• Good understanding of reactive programming patterns and asynchronous data processing
• Experienced in 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 code and identifying common pitfalls
• Effectively communicates complex technical concepts clearly to diverse audiences, including engineers and stakeholders
• Solid understanding…