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AI Job Summary

Design capacity planning strategy and mitigation approaches for a global infrastructure ecosystem, translating customer forecasts into specific resource requirements across computing types including specialized hardware. Drive automated tooling development for IaaS/PaaS solutions, resource lifecycle management, and forecasting dashboards while acting as technical bridge across infrastructure, engineering, and product teams. Requires 15 years as a software engineer or 13 years with an advanced degree, plus demonstrated experience delivering large-scale capacity planning or fleet management systems.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Identify, manage, and design mitigation strategies for technical and organizational risks that threaten delivery timelines.
  • Define and drive the end-to-end architectural roadmap and technical strategy for the global capacity planning ecosystem, ensuring all major technical decisions align with Google-level OKRs and long-term business goals.
  • Drive the development of automated IaaS and PaaS tooling, resource lifecycle management, resource forecasting, and real-time dashboards to improve end-to-end planning fidelity, track capacity health, and accelerate execution velocity.
  • Act as the primary cross-functional technical bridge between capacity infrastructure, engineering organizations, and strategic product/financial partners to resolve complex dependencies and resource constraints.
  • Lead the technical translation of enterprise customer business forecasts into specific infrastructure requirements across cores, storage, and specialized offerings (e.g., TPUs and advanced GPUs) to support both traditional computing and complex ML serving and training demands.

Minimum qualifications:

  • Bachelor's degree in Computer Science or similar technical field, or equivalent practical experience.
  • 15 years of experience as a software engineer or 13 years with an advanced degree.
  • Experience delivering large-scale capacity planning, IaaS/PaaS solutions, or fleet management systems.

Preferred qualifications:

  • Master's or PhD in Computer Science or a field related to Networking or Security Systems.
  • Experience leading and delivering large-scale, complex network infrastructure security initiatives from concept to production.
  • Experience influencing and leading without direct authority, building relationships and driving alignment across unique infrastructure and product teams.
  • Experience creating a compelling, shared vision that motivates engineering organizations, coupled with clear communication and a collaborative leadership approach.
  • Exceptional communication skills, with the ability to articulate complex technical concepts to both engineering leaders and non-technical stakeholders.
  • Bachelor's degree in Computer Science or similar technical field, or equivalent practical experience.
  • 15 years of experience as a software engineer or 13 years with an advanced degree.
  • Experience delivering large-scale capacity planning, IaaS/PaaS solutions, or fleet management systems.
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  • Role Principal Engineer, Cloud Capacity Planning
  • Experience 8-9 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

209K – 260K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 158 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Any
Experience
8-9 years

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