Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Google Distributed Cloud 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. 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 be on focusing building kubevirt networking solution, bootstrapping networking for new GDC platforms, enhance our feature-reach portfolio of security and services built on top of GDC Network Gateway, consolidate Dataplane-v2 support among all GDC 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 $207,000-$300,000 + 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
- Manage and develop an engineering team by shaping career growth, managing sprint velocity, and allocating resources to balance immediate customer commitments with long-term architectural health.
- Direct the roadmap, strategy, and execution for Google Distributed Cloud (GDC)-hosted networking virtualization solutions, collaborating with platform, GDC, Anthos networking teams, and adjacent stakeholders.
- Guide the design and development of network connectivity solutions involving both data plane and control plane elements for hybrid and multi-cloud environments.
- Direct the design and delivery of network virtualization solutions tailored for container and virtual machine (VM) workloads operating on Kubernetes platforms.
- Advocate operational excellence by assisting external GDC customers and resolving issues within production clusters.
Qualifications
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with networking.
- 3 years of experience building and developing large-scale infrastructure or distributed systems.
- 2 years of experience in a people management role managing direct reports.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience managing large-scale Kubernetes or Docker environments.
- Experience with eBPF, in-kernel networking, data plane and control plane elements.