Software Engineer III, Android

Our Mission   Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™     Our Values   One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.   Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.   Never Stop Learning We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.   Spark Solutions We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.   Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.

The Team or Role:

We focus on AI × Developer Productivity and Workflow & Agents, building the culture, systems, and tools that let teams design, prototype, build, and ship connection experiences at record speed. As an Android engineer with an Applied AI focus, you'll sit at the intersection of mobile engineering and AI-assisted development, helping the team ship faster while raising the bar on how we build software.

  Where You'll Work: 

This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, San Francisco, or Los Angeles, CA.

In this role, you will:

• Build and maintain AI-powered Android tools and 24/7 agents that boost velocity and quality.

• Evaluate, integrate, and customize AI-native development tools for Tinder’s Android codebase and workflows.

• Develop prompts, templates, and agentic workflows aligned with Tinder’s architecture and coding standards.

• Measure and report AI tooling impact across the Android guild using clear velocity and quality metrics.

• Partner with engineers across teams to identify pain points and build tooling that removes friction.

• Drive guild-wide adoption of AI-native practices through documentation, workshops, pairing, and onboarding.

You'll need:

• Relentless curiosity about how things work today and a drive to make them better.

• 2+ years of professional experience building native Android applications. 

• Solid Android development experience in Kotlin with a deep understanding of large codebases and developer workflows.

• Strong experience with Android build systems, Gradle, and CI/CD pipelines.

• Demonstrated daily use of AI-native development tools (e.g., Claude, Codex, Cursor or similar).

• Hands-on experience with agentic coding workflows for code generation, refactoring, tests, migrations, and code review at scale.

• Experience building developer tools and automation (Python, Bash, Gradle plugins, custom lint rules, or similar).

• Systems-thinking mindset, able to see workflows end-to-end and spot high-leverage automation opportunities.

• Strong communication skills to evangelize new tools and practices, write clear documentation, and build buy-in across the guild.

• Collaborative and open to feedback, with empathy for other engineers’ workflows and pain points.

Nice to have:

• Experience with prompt engineering and fine-tuning AI tools for domain-specific codebases

• Experience building custom MCP servers, IDE plugins, or developer experience tooling

• Familiarity with LLM APIs (OpenAI, Anthropic, etc.) for building custom AI-powered developer tools

• Background in developer experience, developer productivity, or platform engineering

• Experience measuring and improving engineering velo