Staff Software Engineer I - Confluent Compute Platform
Job
IBM
Bellevue, WA (In Person)
Full-Time
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Job Description
- Introduction
- At IBM Software, we transform client challenges into solutions.
- Your role and responsibilities
- About the
Role:
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:Multi-Cluster Workload Orchestration:
Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per regionPlatform APIs & Abstractions:
Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needsCloud Platform Integration:
Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operationsMulti-Tenancy & Security:
Implement and enhance workload isolation, network policies, and secure execution environments
Observability & Operations:
Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilitiesAs 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.What You Will Do:
- Drive the overall technical charter for the Compute Platform, including multi-cluster orchestration, workload placement, and security architecture
- 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 infrastructureThis job can be performed from anywhere in the US
- Required technical and professional expertise
- 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 environmentIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.
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