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Develop multi-year strategy for GCE capacity data and infrastructure, leading the transition from legacy pipelines to unified near-real-time architecture. Own availability and 24/7 SLOs for low-latency RPC interfaces, distributed databases, and large-scale data pipelines. Guide distributed optimization solver architecture for real-time fleet management. Requires 8 years C++ programming, 7 years building large-scale infrastructure or distributed systems, 5 years technical leadership, and 5 years people management. Recruit and mentor engineering teams while fostering operational excellence.

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Job Description

  • Define the multi-year strategy and OKRs for GCE capacity data and holdback infrastructure. Lead the transition from fragmented, legacy pipelines to a unified, near-real-time data architecture that aligns with broader Google Cloud and accelerator priorities.
  • Own the availability, scalability, and 24/7 SLOs of low-latency RPC interfaces, distributed Spanner databases, and large-scale data pipelines. Guide the architecture of distributed optimization solvers within the GCE Holdback Manager, ensuring real-time machine-drain approvals (SRSly) safeguard fleet capacity and prevent stockouts.
  • Serve as the primary liaison between upstream infra teams (Arcus, Instance Manager, Prime, Prodicus) and downstream tier-0 consumers (Capacity Advisor, CWAC/GOOSE, Fleet Admiral, Stockroom).
  • Recruit, mentor, and scale an engineering organization of software engineers and Tech Leads. Foster a high-velocity engineering culture centered on sound system design, proactive operational hygiene, postmortems, and structured career development.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 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.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years of experience working in a complex, matrixed organization.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 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.
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  • Role Senior Engineering Manager, Fleet Distribution and Data Services, Infrastructure
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • 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

198K – 300K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 58 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:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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