Staff Software Engineer, Networking Infrastructure, Google Cloud

Requirements:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms in C++, Go or Java.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience in Network Infrastructure.
• Kubernetes experience.

Nice to haves:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

What you'll be doing:

• Own and lead the architectural planning, evolution and deliverables for GKE Networking features and capabilities.
• Plan for strategy, execution and deliverables on GKE development efforts in the area of Networking Virtualization solutions.
• Lead the design and development of network connectivity, security and services solutions, involving data plane and control plane elements.
• Lead the design and development of network virtualization solutions for container workloads running on Kubernetes platforms. Lead the design and implementation of new networking features for GKE platforms.
• Help external GKE customers who hit issues in production clusters.

Perks and benefits:

• Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
• Opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
• We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
• Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.