Technical Lead Software Engineer, Kubernetes Networking, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with network architectures, protocols (TCP/IP, BGP, etc.), and technologies, as well as concepts like scalability, fault tolerance, and consistency.
• 5 years of experience with network design, implementation, and troubleshooting.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with networking concepts, including routing, VPNs, load balancers, network security, and firewalls.
• Experience in developing solutions to ambiguous problems with significant impact.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Kubernetes Networking team is responsible for building networking solutions and networking abstractions for these environments and drive solutions integration and validation efforts collaborating with Partners and Customers. Additionally, our team is focusing building kubevirt networking solution, bootstrapping networking for new Google Data Centers (GDC) platforms, enhance our feature-reach portfolio of security (Network Policies, Encryption) and connectivity services built on top of GDC Network Gateway, enabling Network Functional Optimizer program, consolidate Dataplane-v2 support among all environments where kubernetes runs.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and implement new networking features for GKE and GDC platforms for Linux (EBPF).
• Design and develop network virtualization solutions for Container/Virtual Machine (VM) workloads running on kubernetes platforms.
• Design and develop network connectivity solution for hybrid/multi cloud, involving data plane and control plane elements.
• Engage with the open source community to help shape the direction of networking in Kubernetes.