Senior Software Engineer

Full Time Senior Senior Software Engineer in AI at Confluent in Remote, California. Apply directly through the link below.

At a glance:

• Work mode:
  Hybrid
• Employment:
  Full Time
• Location:
  
  Remote, California
• Salary: 182k - 245k USD
• Experience:
  
  Senior
  · 2+ years
• Education:
  
  PhD or equivalent

Core stack: Cross-functional, Computer Science, Systems Design, Architecture, Performance, Distributed, Mentorship, Feedback, Apache, Scala, React, Azure, Kafka, SOLID, Java, AWS, GCP

Education: PhD or equivalent

Is this Senior Software Engineer job remote? Yes, this position is fully remote (Remote, California).

What is the salary range? The salary range is 182k - 245k USD annually.

What are the qualifications? What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience

What skills are required? Cross-functional, Computer Science, Systems Design, Architecture, Performance, Distributed, Mentorship, Feedback, Apache, Scala, and more.

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 Control Plane for Kafka (CPK) team, also known as the Kora Control Plane team, is responsible for the full lifecycle management of Kafka clusters managed by Confluent. This includes developing and maintaining all services and tools necessary for provisioning, operating, and updating these clusters. The team's components coordinate various downstream dependencies to create, configure, and activate new Kafka clusters, as well as to update and manage existing clusters as new Kafka features are delivered to customers.

As a senior software engineer in the team, you will be responsible for the development of new features that expand these systems and improve their capabilities. You will support them in production to ensure they meet our availability and performance goals, observing all functional and non‑functional requirements of these systems. You will work with your peers and other engineers to brainstorm ideas to continuously innovate in this space and bring the best resource management experience possible to our customers.

• Independently drive the design and execution of complex projects end to end
• Contribute to the advancement of the Kafka control plane systems and services
• Work with customers to understand their requirement and making them successful
• Represents the team in cross‑functional design/architecture meetings
• Provide guidance and mentorship to other engineers
• Collaborate with other engineers and make decision which benefits Apache Kafka and Confluent

• BS, MS, or PhD in computer science or a related field, or equivalent work experience
• 2+ years of relevant experience in distributed systems, query and stream processing
• Strong fundamentals in distributed systems design and development
• Experience building and operating highly scalable and performant systems
• 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 or other statically typed languages

• A strong background in distributed storage systems or databases
• Experience/knowledge with public clouds (AWS, Azure or GCP)

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.