Staff Software Engineer, Google Workspace Data Export Platform

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.

Our products process and export data in the order of petabytes, and the scale of our systems represents a true Google scale. We work with the standard Java web stack at Google, and your focus will be primarily on back-end infrastructure.

In this role, you will be responsible for our next-generation data export platform for domain wide takeout and Google vault. You will lead designs across sub-teams, help standardize architectural patterns, and ensure consistency across boundaries. You will partner closely with Engineering Managers, Product Managers, and Tech Leads from Workspace Engineering teams (like Google Drive, Chat, and Gmail) to set technical direction, resolve architectural problems, and ensure predictable, high-quality execution.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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

• Own the overarching architecture, interfaces, and data models across multiple services.
• Define the technical roadmap, identifying scalability bottlenecks, architectural risks, and structural tech debt before they impact velocity or reliability.
• Provide technical direction and guidance to individual project/stream tech leads (typically mid-level and executive engineers), ensuring localized technical decisions do not conflict with organizations wide goals.
• Identify cross-team architectural and technical dependencies, resolve conflicting technical priorities, and eliminate single points of failure.
• Write code for high-risk proof-of-concepts, shared foundational libraries, or critical-path components while delegating day-to-day feature implementation to Development teams.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Java.
• 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.
• 8 years of experience with system architecture and leading cross-functional engineering projects.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience building or scaling distributed systems handling massive datasets (petabyte-scale).