Staff Software Engineer II – Confluent Cloud Infrastructure & Platform

IBM Software develops AI-powered, cloud-native products that help organizations address complex business challenges and drive digital transformation. The Staff Software Engineer II will build and operate Confluent Cloud’s large-scale network data plane platform, lead technical initiatives across cloud networking and infrastructure, and guide engineers in delivering reliable production systems.

Responsibilities:

• Build the software underpinning the mission-critical Confluent Cloud network data plane platform. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient systems
• Deliver high impact to the business by driving important technical initiatives in areas comprising (but not limited to) networking, cloud infrastructure, and multi-tenancy
• Independently drive execution of software projects as well as technically lead a team of engineers to deliver impact in production with a focus on quality
• Build upon open source software and engage with the upstream community to deliver business impact
• Troubleshoot issues and improve ops for complex technical stack that spans all the 3 clouds and includes microservices, containers, and virtualization

Requirements:

• Bachelor's Degree
• 10+ years of relevant cloud infrastructure/cloud networking experience
• Strong fundamentals in distributed systems design and development
• Experience building and operating large-scale systems
• Experience leading a team of engineers and working cross-team to deliver complex infrastructure projects
• Solid understanding of basic systems operations (storage, network, operating systems, etc.)
• Proficiency in C++, Go, Python, or other statically typed languages
• Experience/knowledge with public clouds (AWS, Azure, or GCP)
• Experience building and managing Layer 7 proxies, especially cloud-native proxies such as Envoy
• Master's Degree
• Open source contributions to CNCF projects
• Experience with Kubernetes Networking
• Strong networking background combined with your software engineering experience
• Education in computer science or a related field, or equivalent work experience