Backend Engineer Intern

Our Mission

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.

Our Values

• 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.

What you'll do:

Collaborate across Tinder Engineering on the expansion of our service platform.

Develop and operate scalable and resilient distributed services that run on Amazon Web Services (AWS).

Build large scale distributed systems that handle billions of data events a day.

Write unit and integration tests.

Access to cutting-edge Generative AI tools and the opportunity to apply them in real-world engineering work.

What we're looking for:

Aspiring backend developer who’s excited to work on large scale challenges with cutting-edge technology.

Proficiency in coding with at least one language (Java, Scala, Python,Typescript, Nodejs, etc.).

Foundational knowledge of basic Computer Science principles: data structures and algorithms.

Curiosity and creativity in leveraging Generative AI to reimagine feature building and development workflows.

Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field.

Nice to have:

Prior internship or work experience on backend systems.

Completed relevant project experience (i.e. hackathons, personal projects, GitHub, Open Source, volunteer coding experience etc.).

Knowledge of technologies such as; Protocol Buffers, gRPC, Apache Kafka, Apache Flink, ElasticSearch, Redis.

Aware of AWS technologies like; DynamoDB, S3, RDS, ElastiCache.