Software Engineer III, Infrastructure, Google Distributed Cloud
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- 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.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience in one or more of the following programming languages: C, C++, Go.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience with software defined networking (SDN) controllers, network virtualization, and network function virtualization, as well as with Kubernetes networking, including carrier network information (CNI) and ebpf technologies.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience with development of low-level systems software, Linux Kernel, networking stack, crypto APIs etc.
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 Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s technology. 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.
With Google Distributed Cloud (GDC), we are creating the industry’s leading private and hybrid cloud offering that brings our customers Google Cloud’s AI-led Services and Infrastructure on an on-premises platform that is simple, secure and scalable. Join us in creating AI capabilities for cloud that serve government and enterprise customers across the globe.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience in one or more of the following programming languages: C, C++, Go.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience with software defined networking (SDN) controllers, network virtualization, and network function virtualization, as well as with Kubernetes networking, including carrier network information (CNI) and ebpf technologies.