The role
From Google's own posting.
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.
Google Distributed Cloud (GDC) is a portfolio of fully managed hardware and software solutions which extends Google Cloud’s infrastructure and services to the edge and into your data centers. It is enabled by Anthos and is ideal for local data processing, edge computing, on-premises modernization, and meeting sovereignty, strict data security, and privacy requirements.
Our team - Kubernetes Networking - is responsible for building networking solutions and networking abstractions for these environments and drive solutions integration and validation efforts collaborating with Partners and Customers.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Design and develop network connectivity solution for hybrid/multi cloud, involving data plane and control plane elements.
Design and implement new networking features for GDC platforms along with other members of the team. Help external GDC customers who hit issues in production clusters.
Design and develop network virtualization solutions for Container/Virtual Machines workloads running on kubernetes platforms.
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.
Experience in one or more of the following programming languages: C, C++, Python, Go.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience with Cloud environments, and overall strong product and customer focus, particularly around how large companies use the Cloud.
Experience working with the open source community.
Familiarity with IPv6 and Routing Protocols.
Knowledge of networking components at kernel-level, and networking concepts (various layers of networking IPv4, IPv6, iptables, L4/L7 load balancing, DNS).
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.
Experience in one or more of the following programming languages: C, C++, Python, Go.