Cloud Infrastructure Performance Engineer

Google Inc.; New York (NY); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Inc. in New York, NY is seeking software engineers to build and optimize large-scale infrastructure and distributed systems, with emphasis on compute, storage and hardware architecture.

You will work across AI and infrastructure initiatives and contribute to next-generation platforms. As a software engineer, you will write code, participate in design reviews, review peers’ work, and help maintain documentation and diagnostics.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in C++, Python or Go.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Skills

C++

Python

Go

Large-scale infra

Distributed systems

Hardware arch

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related

Job description

Google Inc. in New York, NY is seeking software engineers to build and optimize large-scale infrastructure and distributed systems, with emphasis on compute, storage and hardware architecture.

You will work across AI and infrastructure initiatives and contribute to next-generation platforms. As a software engineer, you will write code, participate in design reviews, review peers’ work, and help maintain documentation and diagnostics.