Join our Talent Network
Skip to main content
Save Job Saved

Description

With Confluent, organisations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organisation to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.

One Confluent. One team. One Data Streaming Platform.

Data Connects Us.

About the Role:

The Stream Processing & Analytics team has the vision to build an elastic, reliable, durable, cost effective and performant stream processing engine that smoothly works with the existing Confluent Cloud products. The Apache Flink based stream processing engine is at the heart of innovations that would unlock the next generation of use cases for Confluent Cloud, with the ability to impact the company’s top and bottom line. This role is at the crossroads of the Flink runtime and the underlying Confluent Cloud control plane. Ensuring a true cloud native experience for our users and customers

What You Will Do:

  • Work on the Flink specific control plane to ensure that no customer statement is left behind and the engineering org can move fast by always being able to roll the latest fixes and improvements of Flink without worrying. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems
  • Independently drive execution of software projects to deliver complex projects in production with a focus on quality
  • Build upon and contribute to open source software to deliver business impact
  • Troubleshoot issues and improve operations for complex technical stack that spans all the 3 clouds

What You Will Bring:

  • BS, MS, or PhD in computer science or a related field, or equivalent work experience
  • 4+ years of relevant stream processing experience
  • Strong fundamentals in distributed systems design and development
  • Experience building and operating large-scale systems
  • Solid understanding of cloud engineering
  • A self-starter with the ability to work effectively in teams
  • Proficiency in Go, and Java, or Scala

What Gives You an Edge:

  • A strong background in distributed storage systems or databases
  • Experience/knowledge with public clouds (AWS, Azure or GCP) and Kubernetes operators
  • Contributions to OS projects especially in the stream processing area (especially for Flink)

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of 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 applicable law.

Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote

Global Benefits to Help You Do Your Best Work

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