Staff Tech Lead: Cloud Capacity & AI Systems

Google LLC; Kirkland (WA); Vor Ort; USD 207.000 - 300.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) with company match

20 days PTO

Sick time 40 hours/year

Maternity Leave 28-30 weeks

Baby Bonding Leave 18 weeks

13 paid holidays

Zusammenfassung

Google LLC in Kirkland, WA is seeking a Staff Software Engineer, Tech Lead for the Cloud Capacity Management Engineering (CCME) team. The role involves defining long-term technical roadmaps, serving as the tech lead for a high-visibility team, and mentoring SWE L3-L5.

You will collaborate across capacity planning and data science to maximize fleet efficiency and reliability. The position emphasizes scalable, reliable distributed systems, leadership, and delivering impact in an enterprise

Qualifikationen

• Master’s degree or PhD in Computer Science, Operations Research, or a related technical field.
• Background in mathematical optimization, constraint solvers (LP/MIP), simulation, or large-scale data pipelines.
• Industry experience in capacity planning, cloud resource allocation, supply chain modeling, or fleet management systems.
• Experience leading and growing medium-to-large engineering teams; strong communication and collaboration skills.

Aufgaben

• Define multi-year technical goals and architectural strategy for the ODM team.
• Act as primary Tech Lead for the ODM team, setting standards for system design and reliability.
• Mentor engineers and drive engineering best practices across cross-functional partners.

Kenntnisse

Optimization

Constraint Solvers

Simulation

Data pipelines

Distributed systems

Cloud services

Ausbildung

Master’s or PhD in CS/OR

Tools

Distributed systems

Cloud services

Jobbeschreibung

Google LLC in Kirkland, WA is seeking a Staff Software Engineer, Tech Lead for the Cloud Capacity Management Engineering (CCME) team. The role involves defining long-term technical roadmaps, serving as the tech lead for a high-visibility team, and mentoring SWE L3-L5.

You will collaborate across capacity planning and data science to maximize fleet efficiency and reliability. The position emphasizes scalable, reliable distributed systems, leadership, and delivering impact in an enterprise