Software Engineer Manager II, Resource Engineering

Job description

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: 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.