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Job Description

  • Drive a long-term technical vision for Container-Optimized OS (COS) while collaborating across infrastructure teams to deliver integrations and resolve New Product Introduction (NPI) blockers.
  • Implement automation frameworks to eliminate systemic bottlenecks, reduce manual toil, and accelerate development cycles.
  • Leverage performance metrics and telemetry to refine engineering processes and maximize resource efficiency.
  • Mentor a team of engineers and cultivate future technical leads by delegating high-impact projects and encouraging extreme ownership.
  • Orchestrate project roadmaps and foster an environment centered on psychological safety, and high performance.

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • 2 years of experience coding in one or more programming languages (e.g., Java, C++, Go, Python, JavaScript).
  • Experience with Kubernetes (GKE), Docker, or other containerization technologies.
  • Experience developing hypervisors/virtual machine monitors.
  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
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  • Role Software Engineering Manager, Container-Optimized OS
  • Experience 5-7 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

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Job Overview

Approx. salary range

177K – 213K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 181 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 month ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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