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AI Job Summary

Lead engineering transformation enabling partners to operate Google Cloud autonomously while maintaining service reliability. You'll embed SRE principles directly into software, redesign incident response and monitoring for environments without Google SRE access, and oversee support tiers and globally distributed fleet lifecycle operations. Requires 15 years of system design, Unix/Linux, IP networking, and Kubernetes/GKE experience outside public cloud data centers, plus ability to lead distributed engineering teams and translate operational procedures into automated solutions.

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

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Job Description

  • Drive the transformation of Google’s internal operational processes, tools, and practices to enable partners to operate the cloud autonomously while maintaining service parity and Google rollout velocity.
  • Ensure that SRE principles (SLOs, alerting, runbooks, diagnostics) are built directly into the shipped software so external infrastructure operators can operate it reliably without Google's intervention.
  • Redesign incident response, monitoring, and debugging paradigms for universes where Google SREs do not have ambient access.
  • Oversee support tiers, including extended workforce who act as Level 3 support or manage canonical pre-production/staging environments.
  • Manage reliability for a massive, globally distributed "fleet of fleets." This includes managing lifecycle operations (Day 0 turnup, Day 1 install, Day 2 repairs) in addition to software reliability.

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 15 years of experience with system design, algorithms, data structures, complexity analysis and software design or with Unix/Linux systems, IP networking, performance and application issues.
  • Experience with container orchestration (Kubernetes/GKE) operating outside of public cloud data centers.

Preferred qualifications:

  • Capable of technical deep-dives into code, operating systems and storage, yet verbally and cognitively agile enough to hold your own in a strategy discussion with Google’s executive team.
  • Fluency in AI/GenAI product integration and operational automation.
  • Proven track record of converting high-touch operational procedures into self-service, automated software solutions.
  • Demonstrated expertise in managing a distributed team of experienced software engineers of large-scale projects.
  • Proven track record of growing and building highly effective teams, as well as working with stakeholders and collaborating across organizational boundaries.
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 15 years of experience with system design, algorithms, data structures, complexity analysis and software design or with Unix/Linux systems, IP networking, performance and application issues.
  • Experience with container orchestration (Kubernetes/GKE) operating outside of public cloud data centers.
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  • Role Director, Engineering, Sovereign Environments, SRE, Cloud
  • 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.

All jobs at Google
Job Overview

Approx. salary range

224K – 311K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 59 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:
1 day ago
Job Type
Full Time
Education
Any
Experience
8-9 years

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