Software Engineer, Kubernetes, Networking

Google•Apply•Published 15 hours ago•First seen 15 hours ago

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with 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 as we continue to push technology forward.

In this role, you will be responsible for building networking solutions and networking abstractions for these environments and drive solutions integration and validation efforts collaborating with Partners and Customers. Additionally, you will focus on building kubevirt networking solution, bootstrapping networking for new Google Distributed Cloud (GDC) platforms, and enhance our feature reach portfolio of security (e.g., 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 $141,000-$202,000 + 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

Write product or system development code.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and develop network virtualization solutions for container workloads running on kubernetes platforms.
Design and develop network connectivity solutions for hybrid/multi-cloud, involving data plane and control plane elements. Design and implement new networking features for Google Kubernetes Engine (GKE) and GDC platforms for Linux (eBPF).

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience with software-defined networking concepts and technologies, including experience with SDN controllers, network virtualization, and network function virtualization.
1 year of experience with distributed computing.
Experience in C or Go, Linux Kernel, and networking.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience working with the open source community.
Knowledge of core networking concepts (e.g., IPv4, IPv6, iptables, L4/L7 load balancing, and DNS).
Knowledge of networking components at the kernel-level on Windows (optional) and Linux operating systems.