Software Engineering Manager II — Lead High-Throughput Systems

Google

Seattle (WA)

On-site

USD 207,000 - 300,000

Full time

22 hours 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
PTO 20 days per year
Sick time 40 hours/year
Maternity leave 28-30 weeks
Baby bonding leave 18 weeks
13 paid holidays

Job summary

Google is hiring a Software Engineering Manager to lead the Capacity Planning team within the GCS Resource Engineering group. You will oversee staffing, career growth, and the delivery of capacity planning solutions for high-throughput storage systems.

You will guide multiple teams across GCS, Networking, Compute and Data Center to align supply for AI workloads and scale the deployment of new capabilities globally.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience with large-scale infrastructure / distributed systems.
  • 3 years in a technical leadership role.
  • 2 years in people management / team leadership.

Responsibilities

  • Manage team staffing, career growth, and uphold a high-performance bar.
  • Own strategy and outcomes for capacity planning systems for high-throughput GCS products.
  • Guide team through ambiguity by breaking down complex challenges into milestones.
  • Navigate relationships across GCS, Networking, Compute, and Data Center teams.
  • Drive engineering efforts to automate capacity adjudication and accelerate onboarding.

Skills

Software development
Distributed systems
Technical leadership
People management

Education

Bachelor's degree

Job description

Google is hiring a Software Engineering Manager to lead the Capacity Planning team within the GCS Resource Engineering group. You will oversee staffing, career growth, and the delivery of capacity planning solutions for high-throughput storage systems.

You will guide multiple teams across GCS, Networking, Compute and Data Center to align supply for AI workloads and scale the deployment of new capabilities globally.

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