Software Engineering Manager for AI & High-Throughput Systems

Socket.dev; Seattle (WA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google in Seattle is seeking a Software Engineering Manager to lead capacity planning for high-throughput GCS products. You will manage engineers across teams, influence product strategy, and ensure scalable deployment across sites.

You will drive initiatives for automation, resource optimization, and onboarding at scale, guiding teams through ambiguous problems and coordinating with Networking, Compute, and Data Center groups to meet AI workload demands.

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, or related compute/storage domains.
• 3 years of experience in a technical leadership role.
• 2 years in a people management or team leadership role.

Responsibilities

• Manage team staffing, career growth, and uphold a high-performance bar, while building capacity planning solutions for high-throughput GCS products.
• Own strategy, scoping, navigation, and outcomes for capacity planning systems for high-throughput scenarios like Bandwidth Highway and Rapid Cache.
• Guide the team through ambiguity by breaking down complex challenges into tractable milestones.
• Coordinate across GCS, Networking, Compute, and Data Center teams to align supply agendas and onboarding for AI/ML workloads.
• Drive efforts to automate capacity adjudication, optimize network resources, and accelerate onboarding of new high-throughput customers.

Skills

Software development

Distributed systems

Technical leadership

People management

Education

Bachelor's degree or equivalent

Master's degree or PhD (preferred)

Job description

Google in Seattle is seeking a Software Engineering Manager to lead capacity planning for high-throughput GCS products. You will manage engineers across teams, influence product strategy, and ensure scalable deployment across sites.

You will drive initiatives for automation, resource optimization, and onboarding at scale, guiding teams through ambiguous problems and coordinating with Networking, Compute, and Data Center groups to meet AI workload demands.