Google Cloud customers with significant data gravity, stringent locality regulations, and extreme latency sensitivities require the capability to deploy Google Cloud infrastructure in locations outside public cloud regions, including their specific on-premises data centers. To address these unique and complex needs, Google Cloud offers a comprehensive suite of infrastructure services and solutions, encompassing both general-purpose and specialized AI/ML compute, meticulously designed to serve these critical customer requirements.
Requirements
- 8 years of experience in software development.
- 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
Responsibilities
- Develop the long-term technical outlook and roadmap within, and often beyond, the scope of your teams.
- Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Other
- Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- 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.
- Bachelor's degree or equivalent practical experience.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
