Staff Software Engineer, Data & AI Infrastructure Lead

Google LLC; Raleigh (NC); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in the United States is seeking a software engineer to lead our Data Initiative within Google Global Infrastructure (GGI). You will collaborate with senior leaders, shape data architecture, and drive AI adoption to boost productivity and innovation.

The role emphasizes building large-scale distributed systems, mentoring engineers, and delivering reliable data platforms across teams, with in-person interviews and multiple U.S. location options including Raleigh.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 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.

Responsibilities

• Collaborate with senior leadership in GGI, cross-functional teams to collect requirements, and define product and key user journeys.
• Lead the technical design and execution of complex projects, ensuring alignment with the long-term data architecture strategy.
• Contribute to all phases of the software development lifecycle, from requirements gathering to production support.
• Identify and advocate for improvements to data quality, system architecture, and engineering practices within GGI.
• Mentor junior engineers and contribute to code reviews and best practices.

Skills

C++ programming

Distributed systems

Large-scale infrastructure

Software testing

Software design & architecture

Leadership

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS/related field

Job description

Google LLC in the United States is seeking a software engineer to lead our Data Initiative within Google Global Infrastructure (GGI). You will collaborate with senior leaders, shape data architecture, and drive AI adoption to boost productivity and innovation.

The role emphasizes building large-scale distributed systems, mentoring engineers, and delivering reliable data platforms across teams, with in-person interviews and multiple U.S. location options including Raleigh.