Staff Infrastructure Engineer, Cloud AI Systems

Google LLC

Kirkland (WA)

On-site

USD 207,000 - 300,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
Paid time off 20 days per year
Sick time 40 hours/year (Seattle 69)
Maternity leave 28–30 weeks
Baby bonding leave 18 weeks
Holidays 13 paid days

Job summary

Google LLC in the United States is seeking a Staff Software Engineer, Infrastructure for Google Cloud AI to lead large-scale infrastructure projects. You will design, develop, test, deploy, and maintain software solutions across distributed systems, focusing on reliability and performance at hyperscale.

The role requires 8 years of software development experience, 5 years in large-scale infrastructure, and proven technical leadership.

Qualifications

  • 8 years of software development experience.
  • 5 years building large-scale infrastructure or related compute/storage expertise.
  • 5 years testing, launching software products.
  • 3 years in software design and architecture.

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment across teams on goals and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Skills

Software development
Large-scale infra
Distributed systems
Testing and launch
Software design & architecture

Education

Bachelor's degree or equivalent practical experience

Job description

Google LLC in the United States is seeking a Staff Software Engineer, Infrastructure for Google Cloud AI to lead large-scale infrastructure projects. You will design, develop, test, deploy, and maintain software solutions across distributed systems, focusing on reliability and performance at hyperscale.

The role requires 8 years of software development experience, 5 years in large-scale infrastructure, and proven technical leadership.

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