Confluent - Senior Software Engineer II - Cloud Platform

Your Role And Responsibilities

With Confluent, organizations 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 organization to create experiences and use the power of data in ways that profoundly impact the way we all live.

Your primary responsibilities include:

• Design, build, and evolve internal infrastructure services written in Go, often as Kubernetes operators, that power the core platform behind Confluent Cloud
• Own the systems that make cloud infrastructure secure, scalable, observable, and reliable, using GitOps, Terraform, Prometheus, Grafana, and a strong foundation in Linux, networking, and public cloud
• Collaborate with engineers across Confluent to enable fast, safe, and autonomous deployment of services through shared platform tooling and best practices
• Take shared responsibility for the full lifecycle of our infrastructure: availability, performance, monitoring, incident response, and capacity planning
• Work on systems at scale, across tens of thousands of instances and multiple regions, with a focus on smooth, fast, and safe operations
• Influence the architecture and operational strategy behind the critical infrastructure that supports all of Confluent’s cloud services
• Participate in an 8-hour, follow-the-sun on-call rotation

Preferred Technical And Professional Experience

• Strong programming skills with the ability to read, debug, and evolve existing code (Go, Java, or Python)
• Deep understanding of systems internals (filesystems, memory, networking, kernel behavior) and large-scale system performance
• Hands-on experience with Kubernetes in production and modern cloud-native ecosystems, including containers and public cloud platforms (AWS, GCP, Azure)
• Expertise in automation and reliability practices—GitOps, Terraform, CI/CD, observability—and experience diagnosing and improving complex systems