Staff Software Engineer, Infrastructure

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum 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.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with designing and building distributed systems and backend services.
• Experience with data modeling, data pipelines and best practices in data management.
• Leadership experience through leading complex projects involving multiple stakeholders.
• Experience in people management or equivalent leadership experience.
• Familiarity with network infrastructure concepts.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will lead our Data Initiative team. You have the opportunity to have the influence across the entire Google Global Infrastructure (GGI) organization. You will work closely with the senior leadership of GGI, drive the strategic direction across various systems in GGI, accelerate AI adoption in the team to improve productivity and foster innovation. You will collaborate with various sub-organizations in GGI, understand their data model, and provide recommendations to them to operate safety on their data, and solve difficult problems involving data architecture, conformance and quality.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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.