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We are looking for a staff level technical leader to help us build the next-generation network data plane to enable our Confluent Cloud platform to achieve 10x the current scale. This is a hybrid engineering role, blending deep software development expertise with hands-on operational excellence. Cloud networking is a strategic investment area with significant potential to impact the company's growth. The Traffic team is responsible for the network platform of Confluent Cloud with a focus on performance, security, reliability, and cost optimizations for all network traffic that ingresses and egresses a customer's Kafka and DSP deployments as well as all internal service to service traffic on Confluent Cloud. You will architect, design and lead cross-team initiatives to deliver highly scalable, cost efficient, networking data plane solutions, while also ensuring these systems are reliable, observable, and resilient in production. You’ll work across engineering, security, product, and platform orgs to deliver building blocks that empower product teams to integrate networking seamlessly.
Job Responsibility:
Design, develop, and operationalize high-performance, scalable, reliable, and resilient systems for the Confluent Cloud network data plane platform
Independently drive the execution of ambiguously scoped cross-team software projects, ensuring the delivery of complex projects in production with a focus on quality
Leverage cloud providers to deliver impactful business solutions
Troubleshoot and improve operations for a complex technical stack that spans across AWS, Azure, and GCP, including microservices, containers, and virtualization
Requirements:
BS, MS, or PhD in Computer Science or a related field, or equivalent work experience
8+ years of software engineering industry experience
Strong fundamentals in distributed systems design and development
Experience in building and operating large-scale systems
Solid understanding of networking primitives and protocols
Self-starter with the ability to work effectively in teams
Proficiency in C++, Go, Python, or other programming languages
Nice to have:
Experience with Kubernetes
Experience with network proxies and/or load balancers
Experience with public clouds (AWS, Azure, or GCP)
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