Staff Software Engineer I - Cloud Compute Platform

Confluent Confluent · Data AI · United States · Remote · Engineering

Staff Software Engineer to build and evolve a next-generation, multi-tenant, cloud-native compute substrate powering Confluent Cloud's workloads. The role involves orchestrating workloads across thousands of Kubernetes clusters globally, designing platform APIs, integrating with the broader Confluent Cloud platform, and ensuring multi-tenancy and security. Responsibilities include driving technical charter, designing APIs and Kubernetes operators, working with product management, and owning operational aspects.

What you'd actually do

  1. Drive the overall technical charter for the Compute Platform, including multi-cluster orchestration, workload placement, and security architecture
  2. Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements
  3. Work closely with product management and engineering leadership to build and drive the roadmap for Confluent's Compute Platform, enabling new business opportunities across Confluent.
  4. Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management
  5. Lead technical design reviews and drive architectural decisions across organizational boundaries

Skills

Required

  • 8+ years of experience delivering scalable software solutions
  • Proven track record of leading the delivery of large-scale, highly available, low-latency systems
  • Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures
  • Strong proficiency in Go with experience building production-grade distributed systems
  • Experience with multi-tenant platform architectures and security isolation patterns
  • Familiarity with gRPC, Protobuf, and API design for internal platform services
  • Experience with observability tools and operational excellence practices
  • Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations
  • Track record of providing technical leadership and mentorship

Nice to have

  • Track record of working collaboratively across teams including product management, SRE, and other engineering teams
  • A smart, humble, and empathetic attitude with a strong sense of teamwork
  • Drive and excitement about the challenges of a fast-paced, innovative software environment

What the JD emphasized

  • highly available
  • low-latency systems
  • Deep expertise in Kubernetes
  • multi-tenant platform architectures
  • security isolation patterns