Staff Software Engineer I - Confluent Compute Platform
Role details
Job location
Tech stack
Job description
As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including, As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers., Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements
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.
Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management.
Lead technical design reviews and drive architectural decisions across organizational boundaries
Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance
Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure
Requirements
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
Preferred technical and professional experience
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
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
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.