Staff Android Full Stack Engineer, Fanatics Markets

Fanatics•New York, NY

48d

About The Position

Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.

Requirements

6-7 years building highly scalable Android apps and professional experience with backend microservices and distributed systems in Kotlin
Strong knowledge of Kotlin language features especially coroutines, flows, idioms, and best practices with the ability to contribute to best practices and mentor peers in its effective use
Some exposure to building full-stack applications
Solid understanding of reactive programming patterns and asynchronous data processing
Proficiency 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 of Agile software delivery and SCRUM methodology, with a track record of contributing to process improvements within teams
Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly
Strong ability to collaborate cross-functionally across diverse teams within large enterprise environments, supporting alignment and shared success

Nice To Haves

Experience with Kotlin Multiplatform(KM)
Compose Multiplatform Experience
Experience designing and building backend services using Spring Boot or similar Java frameworks
Experience working in large-scale distributed systems and event-driven architectures
Exposure to Swift & iOS development frameworks

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 our client platform team who helps define & grow our client standards, best practices and shared ui experience library platform across the organization.
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
Mentor junior engineers, fostering a culture of continuous learning and professional growth on 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)