Google
Engineering Manager, Network Management
Found: Today
Engineering Manager, Network Management
About the job
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.
As the Tech Lead Manager (TLM) for the Infrastructure Engineering team, you will revolutionize the global network infrastructure. In this role, you will lead a software engineering team focused on automated traffic routing and maintenance systems, and will drive Google’s self-driving network mission across a production environment. You will balance technical leadership with people management. You will define the strategy and roadmap for critical automated systems, developing next-generation APIs, self-driving network software, and resilient disaster recovery protocols.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex organization.
- Experience with Go, C++, and data center networking.
Responsibilities
- Lead a team of software engineers to design, build, deploy, and in some cases, operate the critical software systems that directly manage the global data center networking infrastructure.
- Cultivate a high-performance culture of technical excellence, inspire engineers across wide initiatives, and directly manage a highly collaborative group of software engineers.
- Guide teammates to design and implement features to further our intent-based network management goals.
- Build cross-functional relationships across the wider organization to deliver advanced automated flows that seamlessly execute network lifecycle operations.
