Senior Full Stack Software Engineer, Grindr

• Deep production experience across both front-end and back-end systems, with a track record of owning features or services end to end
• Strong proficiency building user interfaces with React, including a solid grasp of modern web performance, state management, and accessibility
• Strong back-end experience in at least one modern language (Java, Kotlin, Node.js, Python, or Go), with the judgment to make sound trade-offs between complexity, performance, and delivery speed
• Hands-on experience operating cloud-native systems on AWS or GCP
• Solid understanding of database fundamentals, with production experience across Kafka and SQL
• Applies advanced AI prompting techniques for complex tasks, critically audits AI outputs, and documents and shares AI workflows with the team

Desirable

• This role sits on the Ecosystem Health team and owns the end-to-end stack behind Grindr's moderation — the tools used by human moderators, automated photo moderation, fraud and spam prevention, and regulatory compliance
• As a Staff engineer, you'll set the technical direction for how we architect, ship, and scale these systems, working across the front-end and back-end with equal fluency
• You'll partner directly with Product, Design, Marketing, and Backend Platform to make decisions that show up in production within weeks, not quarters
• The systems you build are trusted by millions of users to protect their privacy and serve them reliably at scale
• Own the React tools that power our human moderators, and their backend, from design through delivery
• Build and ship features across the full stack, coordinating with the teams whose work touches this surface
• Build security, privacy, and accessibility into everything you ship, millions of users trust Grindr to protect them
• Maintain existing third-party integrations and build new ones as we grow into being AI first
• Drive code review culture and champion testing and reliability practices, mentoring engineers through your own work
• Apply AI tools to your day-to-day engineering work and help build out the team's shared AI practices