Senior Software Engineer, Data Engineering, Cloud AI

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming

languages.

• 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical field.

• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.

• Experience developing accessible technologies.

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 team builds the critical data infrastructure, log processing engines, and

automated experimentation pipelines that power our executive dashboards and

guide product strategy.

As a Senior Data Engineer on this team, you will design robust, compliant

pipelines handling massive datasets and transition 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Design, build, and maintain scalable batch and streaming data pipelines to

ingest and transform enterprise data into Gemini Enterprise.

• Develop high-performance data warehousing and storage systems optimized for

AI models, search capabilities, and analytics.

• Implement data quality monitoring, alerting, and governance to uphold strict

integrity, privacy, access controls, and compliance standards.

• Partner with SWEs, PMs, and Data Scientists to deliver robust infrastructure

that powers new product features and AI capabilities.

• Optimize pipelines for cost, latency, and resource usage while driving best

practices in data modeling, schema design, and orchestration.