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, matrixed organization.
- Experience in C , Go, Python, or Java.
- Experience building and supporting a respectful team environment.
- Experience architecting and developing large-scale distributed systems. Experience in concurrency, multithreading and synchronization.
- Concern for maintainability, testing and support and appreciation and for customer requirements and customer experience.
About the jobWith 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.
The Zone Capacity Management team aims to provide efficient, well balanced utilization of Cloud compute, network, and storage resources, leveraging data driven insights and expertise to organize and optimize placement of customer workloads.
Compute Engine is growing and expanding at speed. Over time, tradeoffs between geo-expansion and efficiency can add up, leading to challenges in optimum resource placement. Our team works with key stakeholders representing geo-expansion, datacenter capacity planning and capacity management, and develops tools for customer demand to optimize resources, leading to capital efficiency for the company, energy efficiency for the planet, while still providing the on-demand capability expected by the customer.
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 benefits
Learn more about benefits at Google .
Responsibilities- Collaborate with Product, Engineering, Data Center Capacity, and SRE teams for technical initiatives and strategies.
- Coordinate and align roadmap and engineering design with technical leads and business owners across the organization.
- Drive existing projects and initiatives and hire new team members and lead new efforts in steering Google Compute Engine (GCE) demand.
- Grow, mentor and develop a SWE team. Define and uphold high standards for engineering efforts.
- Foster a healthy team culture and direct involvement with day-to-day operations of the team.
