Staff Software Engineer - Data Center Modeling & Scale

Google; Sunnyvale (CA); On-site; USD 197,000 - 291,000; Full time

Job summary

Google in Sunnyvale, CA is seeking a Staff Software Engineer to lead data center resource modeling across Google's hyperscale infrastructure. You will own architectural direction, define the roadmap, and drive scalability for a platform that models hardware across racks and components to plan capacity and lifecycle at scale.

The role requires leading a distributed team, mentoring engineers, and coordinating with partners and senior leadership to set goals and deliver outcomes while reducing

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in programming.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience with distributed computing, large-scale data processing.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Assess impact to team software stack from new hardware product programs and explore AI driven process improvement and automation.
• Establish technology and product goals in collaboration with other tech leads, managers, partners, clients, and senior leadership. Grow technical skills within the team.

Skills

Distributed computing

Large-scale systems

C++

Java

Technical leadership

Education

Bachelor's degree or equivalent practical experience

Job description

Google in Sunnyvale, CA is seeking a Staff Software Engineer to lead data center resource modeling across Google's hyperscale infrastructure. You will own architectural direction, define the roadmap, and drive scalability for a platform that models hardware across racks and components to plan capacity and lifecycle at scale.

The role requires leading a distributed team, mentoring engineers, and coordinating with partners and senior leadership to set goals and deliver outcomes while reducing