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.

The Kora Global team is part of the broader Kora Orchestration organization working towards re-imagining Apache Kafka as a cloud native data serverless - fully serverless, multi-tenant, and at scale. You will work on building the next generation Kafka by continuing to push the boundaries of distributed system design.

The Kora Global team focuses on crucial elements of Confluent's global replication infrastructure. These include Cluster Linking, MultiRegion Cluster (MRC) and Confluent Replicator, as well as building out the next generation global replication technologies.. These technologies help customers deploy and manage Confluent clusters across multiple regions for high availability and disaster recovery.

As a Senior Software Engineer on the Kora Global team, you will be working on developing and improving Confluent's global replication offerings. You will be instrumental in driving the technical solutions end-to-end, working closely with the team and key stakeholders to design, architect, and develop top-notch solutions. You'll collaborate with product managers, engineers, and other team members. This role will involve working on highly available, reliable, secure, scalable, and multi-tenant aspects of Kora's orchestration layer.

To learn more about what we work on, check out the following: Learn about Confluent Cluster Linking | Hybrid and Multicloud Architecture High Availability and Disaster Recovery with Cluster Linking | Hybrid and Multicloud Architecture Extending the Apache Kafka® Replication Protocol Across Clusters Multi-Geo Replication 101 for Apache Kafka: The What, How, and Why

• Driven and excited about challenges of delivering complex projects in production with a focus on quality

• Customer focused - making customers more successful by taking on their most challenging problems motivates you

• Have a strong sense of teamwork and able to make decisions which benefit the team and company

• Identify root causes, and get beyond treating symptoms - motivated to dig deep and solve hard problems

• BS, MS, or PhD in computer science or a related field, or equivalent work experience

• 2-3 years plus of relevant cloud infrastructure and/or SaaS/PaaS services Strong fundamentals in distributed systems design and development

• Experience building and operating large-scale systems in the Cloud

• Solid understanding of basic systems operations (disk, network, operating systems, etc)

• A self starter with the ability to work effectively in teams

• Proficiency in Java, Scala, C/C++, Go or other statically typed languages

• In-depth familiarity with the JVM

• A strong background in distributed storage systems or databases

• Experience/knowledge with public clouds (AWS, Azure or GCP), Kubenetes and micro services.

• Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)

• Experience working on multi-region databases or data storage

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.