Technical Support Engineer - Kafka (Sunday - Thursday schedule)

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow - whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

• Working with customers to resolve a wide range of issues with their Confluent deployments

• Contributing to process development - we’re a small team, so we’re looking for people who want to help us lay the foundation for growing efficiently and with a best-in-class culture

• Communicating with our core engineering team to provide real-time product feedback from the field

• Improving product documentation and authoring knowledge base articles

• Creating and reviewing product demos and internal tooling

• Working closely with the team behind Apache Kafka!

• Excitement in learning about streaming data and becoming a domain expert in Apache Kafka

• Experience in diagnosing, reproducing, and resolving customer issues

• Desire to make customers successful through direct interaction.

• Willingness to work Sunday to Thursday work schedule

• Two out of these three:
  - Experience troubleshooting applications running on Linux (resource contention, network bottlenecks, etc.)
  - Operational knowledge of Java applications (stack, jmap, etc.)
  - Experience with at least one mainstream distributed system (e.g. Kafka, Hadoop, Cassandra, etc.)

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.