Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We need 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. 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. In this role, you will have deep expertise in large-scale capacity planning, distributed systems, networking, and AI/ML frameworks. You will be ensuring Google Cloud Storage (GCS) continues to be the storage for the next generation of AI/ML workloads on Google Cloud Platform.
Requirements
- Experience with capacity planning.
- Experience with distributed systems.
- Experience mentoring executive engineers and other Tech Leads.
- Understanding of AI/ML frameworks and the ability to navigate ambiguity, lead technical in-depth search into complex problems, evaluate trade-offs, and drive consensus among senior engineers and stakeholders.
Responsibilities
- Develop and implement a comprehensive capacity planning strategy for AI/ML workloads.
- Create models for our storage, serving, and networking capacity, and defining our risk models and utilization goals across the fleet.
- Provide technical leadership and set the tactical direction for several engineering teams and their respective Tech Leads, ensuring a unified and effective approach.
- Partner with various teams, including those responsible for data center management, central capacity planning and tooling, as well as our partners in Compute and Networking.
- Address the novel issues presented by the exponential growth in throughput demand from new AI/ML workloads.
- Take ownership of and drive improvements for key metrics like the time required to onboard new high-throughput customers and the unit cost per byte stored and throughput served.
Other
- Experience cross functional leadership
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Excellent communication and collaboration skills to influence across organizational boundaries.
- display leadership qualities and be enthusiastic to take on new problems across the full-stack
