Software Engineer II, Backend

As humans, there are few things more exciting than meeting someone new.

At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive.

With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.

We work together to solve complex problems.

Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

• Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
• Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
• Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
• Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
• Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.
• Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
• Design, develop and operate scalable and resilient distributed services that run on Kubernetes or ECS
• Collaborate with various functional teams across Tinder on the expansion of our service platform
• Influence the team roadmap and product development
• Recruit, encourage, and develop other team members
• Excellent knowledge and experience with a backend language like Java, Node.js , Go, C++
• BS/MS in Computer Science or an equivalent field with 2+ years of industry work experience
• Excellent knowledge of Computer Science fundamentals with strong competencies in data structures, algorithms, and coding