Software Engineer Manager II, Resource Engineering

Responsibilities

• Manage team staffing, career growth, and uphold a high-performance bar, while fostering an environment to build capacity planning solutions for high-throughput GCS products.
• Own the strategy, scoping, navigation, and outcomes for capacity planning systems targeting high-throughput scenarios, such as the Bandwidth Highway and Rapid Cache.
• Guide the team through ambiguity by breaking down complex challenges such as supply scarcity and dense AI zone typologies into tractable technical milestones.
• Navigate complex relationships across GCS, Networking, Compute, and Data Center teams to align supply agendas and ensure seamless on boarding for massive AI/ML workloads.
• Drive engineering efforts to automate capacity adjudication, optimize network resources, and accelerate the time required to onboard new high-throughput customers.
• - Manage team staffing, career growth, and uphold a high-performance bar, while fostering an environment to build capacity planning solutions for high-throughput GCS products. - Own the strategy, scoping, navigation, and outcomes for capacity planning systems targeting high-throughput scenarios, such as the Bandwidth Highway and Rapid Cache. - Guide the team through ambiguity by breaking down complex challenges such as supply scarcity and dense AI zone typologies into tractable technical milestones. - Navigate complex relationships across GCS, Networking, Compute, and Data Center teams to align supply agendas and ensure seamless on boarding for massive AI/ML workloads. - Drive engineering efforts to automate capacity adjudication, optimize network resources, and accelerate the time required to onboard new high-throughput customers.

Minimum qualifications:

Preferred qualifications:

Qualifications

• 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. - Strong understanding of AI/ML frameworks. - Experience mentoring executive engineers and other technical leads. - Experience in capacity planning for complex, large-scale distributed systems.