Staff Software Engineer, Gemini Enterprise App, Cloud AI

Google; Sunnyvale (CA); On-site; USD 207,000 - 301,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days per year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Sunnyvale is seeking a Staff Software Engineer for the Gemini Enterprise App, Cloud AI team. You will shape the architecture of the analytics platform and drive end-to-end pipeline design for large-scale data.

You will collaborate with Data Science, Product, and Engineering leaders, own technical direction, and mentor engineers while upholding privacy, security, and reliability across the stack. The role requires strong coding skills in C++, Java, Python, or Go and experience delivering

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Define the multi-year architectural goal and technical roadmap for the Gemini Enterprise metrics ecosystem, aligning investments with broader Cloud AI product goals.
• Own critical design choices for high-throughput batch and streaming pipelines, translating highly ambiguous requirements into scalable and maintainable systems.
• Enforce strict SLAs/SLOs for production datasets and lead targeted investments to optimize cloud infrastructure costs, automate toil, and drive incident postmortems.
• Act as the primary engineering liaison to Data Science, Product, and Engineering leaders to align project timelines and build the telemetry needed to measure product quality.
• Foster a high-performing team culture through active mentoring, while advocating Google-wide standards in data privacy, security compliance, and testing.

Skills

C++

Java

Python

Kotlin

Go

Generative AI integration

Software testing

Software architecture

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering, Computer Science, or a related technical field

Tools

Flume

Dream-pipe

Conduit

SQL Pipelines

Job description

Staff Software Engineer, Gemini Enterprise App, Cloud AI

Google – Sunnyvale, CA, USA; Kirkland, WA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 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 with internal Google-scale distributed data technologies and pipeline frameworks (e.g., Flume, Dream-pipe, Conduit, or SQL Pipelines) to build data warehousing solutions, analytics APIs, or customer-facing dashboards.
• Experience with delivering concise, technical updates, architectural trade-offs, and engineering recommendations to executive leadership and cross-functional stakeholders.

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.

Join the Gemini Enterprise App Observability and Analytics team! We are the 'lens' through which Google Cloud understands generative AI adoption, reliability, and business impact. Our team builds the critical data infrastructure, log processing engines, and automated experimentation pipelines that power our executive dashboards and guide product strategy.

As a Software Engineer on this team, you will design compliant pipelines managing massive datasets and transitioning raw log signals into real-time metrics. You will directly influence how our customers measure their AI investment and how our engineering teams validate their feature rollouts.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Define the multi-year architectural goal and technical roadmap for the Gemini Enterprise metrics ecosystem, aligning investments with broader Cloud AI product goals.
• Own critical design choices for high-throughput batch and streaming pipelines, translating highly ambiguous requirements into scalable and maintainable systems.
• Enforce strict SLAs/SLOs for production datasets and lead targeted investments to optimize cloud infrastructure costs, automate toil, and drive incident postmortems.
• Act as the primary engineering liaison to Data Science, Product, and Engineering leaders to align project timelines and build the telemetry needed to measure product quality.
• Foster a high-performing team culture through active mentoring, while advocating Google-wide standards in data privacy, security compliance, and testing.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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