Senior Android Engineer, MLB App Feature Teams

September 25, 2026

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Major League Baseball is looking for a Senior Android Engineer, MLB App Feature Teams to join the team building the MLB App experiences that bring fans closer to the game, including personalized feeds, real-time scores and stats, notifications, widgets, advertising surfaces, and media experiences. You will own Android feature delivery end to end, from technical design and implementation through testing, rollout, observability, and production reliability.

This role is for an engineer who can operate independently in a large consumer app, make sound architecture decisions, raise the quality bar for the team, and use modern developer tools, including generative AI, responsibly and effectively.

Responsibilities

Build high-quality Android features in Kotlin and Jetpack Compose across app, media, and shared platform modules
Translate product requirements and Figma designs into polished, accessible, production-ready UI while maintaining cross-platform consistency with iOS
Design and implement clean, maintainable feature architecture that fits a modular Android codebase
Integrate REST and GraphQL APIs with resilient networking, thoughtful state handling, caching where appropriate, and clear failure states
Improve app performance, responsiveness, startup behavior, crash-free sessions, and overall reliability
Partner with Product, Design, iOS, Backend, QA, and Test Engineering to clarify requirements, shape technical plans, and define test coverage early
Monitor feature rollouts and production behavior using Firebase, Datadog, crash reporting, analytics, and release health signals
Own production issues from diagnosis through resolution, including root-cause analysis and follow-up prevention work
Drive measurable improvements in build time, delivery throughput, code quality, and engineering efficiency
Provide thoughtful PR reviews, mentor engineers, and help establish patterns that scale across feature teams
Use GenAI tools such as GitHub Copilot or similar assistants to accelerate implementation, refactoring, test generation, debugging, and documentation while retaining full engineering accountability
Validate AI-assisted work through tests, code review, static analysis, observability checks, and secure coding practices before merge
Follow internal AI usage guidance, repository conventions, data-handling expectations, and review standards

Qualifications & Skills

Required Qualifications

6+ years of professional experience building production Android applications
Strong Kotlin, Android SDK, Jetpack Compose, coroutines, and modern Android architecture expertise
Experience working in modular Android codebases with shared core modules, design systems, and established architectural patterns
Strong REST and GraphQL integration experience, including error handling, async state management, and API contract collaboration
Proven testing discipline across unit, integration, snapshot, and UI testing, including experience running tests in CI
Experience diagnosing production issues using logs, metrics, crash reporting, analytics, and observability tools
Familiarity with push notifications, deep links, widgets, feature flags, experimentation, and release management
Strong Git workflow, code review, and written communication skills
Practical experience using GenAI developer tools to support software delivery, with the judgment to review, adapt, test, and explain generated code

Preferred Qualifications

Experience building high-traffic consumer apps with millions of users
Media, video streaming, sports, live events, or real-time data experience
Experience with Firebase, Datadog, GraphQL clients, analytics platforms, remote configuration, and experimentation frameworks
Experience improving app startup, rendering performance, memory usage, networking efficiency, or build performance
Experience in large shared repositories with many contributors and multiple release trains
Technical leadership experience, including mentoring, architecture reviews, and cross-team delivery
Familiarity with responsible GenAI practices, including prompt/context hygiene, AI-assisted test creation, and evaluation of generated code quality

Senior-Level Competencies

Drives ambiguous product and technical problems toward clear, shippable outcomes
Makes pragmatic tradeoffs across quality, speed, maintainability, performance, and user impact
Communicates technical decisions clearly to engineering and non-engineering partners
Raises team standards through code reviews, design feedback, mentoring, and documentation
Balances feature delivery with long-term platform health and operational reliability
Understands the broader codebase and internal tooling deeply enough to make changes safely across module boundaries
Uses metrics and production signals to guide decisions rather than relying only on intuition
Treats GenAI as a force multiplier, not a substitute for engineering judgment, ownership, or accountability

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

Competitive Benefits Package
Company 401K Contribution
Paid Time Off and Holidays
Paid Parental Leave
Access to Free Tickets to Baseball Games & MLB.TV
Discounts at MLB Store | MLBShop.com
Employee Assistance Programs (EAP)
Onsite/Online Training & Development Programs
Tuition Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Pet Insurance

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