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Job Description:

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

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.

About the Role:

The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications.

What You Will Do:

  • Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization
  • Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus
  • As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product
  • You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud
  • If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in

What You Will Bring:

  • BS, MS, or PhD in computer science or a related field, or equivalent work experience
  • 1+ years of relevant cloud infrastructure/cloud networking experience
  • Strong fundamentals in distributed systems design and development
  • Knowledge in building and operating large-scale systems
  • Understanding of basic systems operations (disk, network, operating systems, etc)
  • A self-starter with the ability to work effectively in teams
  • Proficiency in Go, Python, C++, or other statically typed languages
  • Experience/knowledge with public clouds (AWS, Azure or GCP)

What Gives You an Edge:

  • Experience with Golang is advantageous
  • Experience using Apache Kafka is a big plus 

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.

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.

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