Description
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.
About the Role:
The Kora Background Plane team has the vision to build the best experience for Kora - Confluent’s cloud native Kafka service. As a Staff Software engineer, you will design and build efficient and performant algorithms for right sizing, load balancing and seamless scalability of Kora. You will be instrumental in driving the vision and roadmap providing technical leadership, mentoring, and enabling a high-performing engineering team to tackle complex distributed data challenges at scale.
What You Will Do:
Build the software underpinning mission-critical Kora Background Plane platform. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems
Collaborate effectively across engineering, product, field teams and other key stakeholders to create and execute impactful roadmap for the Kora Background plane team.
Meet and exceed Service Level Agreements (SLAs) for critical cloud services owned by the Kora Background Plane team.
Evaluate and enhance the efficiency of our platform's technology stack, keeping pace with industry trends and adopting state-of-the-art solutions
Provide technical leadership, mentorship and drive strong teamwork
What You Will Bring:
12+ years of relevant software development experience
5+ years of experience with designing, building, and scaling distributed systems
Deep technical expertise in large scale distributed systems
Experience running production services in the cloud with demonstrated operational excellence
Proficiency in Java, Scala
Ability to influence the team, peers, and management using effective communication and collaborative techniques
Proven experience in leading and mentoring technical teams
BS, MS or PhD in computer science or a related field, or equivalent work experience
What Gives You an Edge:
A strong background in distributed storage systems or databases
Experience in the areas of load balancing stateful distributed systems
Experience developing SaaS services on public clouds providers(AWS, Azure or GCP)
Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)
Ready to build what's next? Let’s get in motion.
Come As You Are
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.
Global Benefits to Help You Do Your Best Work
Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Leadership Principles Define How we Act
Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They’re an extension of our company values which we all live each day. You can learn more here.
Confluent is Remote-First
At Confluent, we care about how you work - not where. We encourage you to apply for positions outside of the listed job location or your immediate region.
Share this post
Copyright © Confluent, Inc. 2014-2025. ®, Apache Kafka®, Kafka®, Apache Flink®, Flink®, Apache Iceberg®, Iceberg® and associated open source project names are trademarks of the Apache Software Foundation