Staff Software Engineer, Gemini App, Data Engineering, DeepMind

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science or related technical field, or

equivalent practical experience.

• 8 years of experience in software development.

PREFERRED QUALIFICATIONS:

• Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or

other similar infrastructure.

• Experience developing, debugging, and supporting large-scale data pipelines.
• Experience with distributed data processing frameworks and workflow

orchestration tools.

• Experience in Go/C++.
• Experience in a technical Lead or similar role, ideally setting technical

direction for a small group of executive and junior software engineer.

• Ability to address daily business data requirements, ensure that development

obstacles are cleared to maintain the Gemini App's changing growth.

ABOUT THE JOB:

As a part of the Gemini Apps Data Engineering team, you will architect and

operate the data pipelines that deliver critical telemetry across all Gemini

surfaces. You will combine deep technical expertise with Google-scale operating

experience to solve the unique data issues inherent in building a

transformative, global product during a time of massive growth!

Gemini’s user base is growing continuously and our traffic has sometimes even

doubled just over the course of a week. In this role, you will provide the

technical leadership necessary to scale our infrastructure. You will architect

durable data products and drive critical engineering initiatives across multiple

teams to ensure we continue delivering metrics and training data quickly,

reliably, and accurately at a massive global scale.

In this role, you will leverage your experience in building and running scalable

systems, and utilize modern data warehouse infrastructure at Google, lead a

small team of executive and junior engineers to scale the data pipelines that

drive Gemini Apps’s analytics and power model and product improvement. You will

work directly with key stakeholders, including our Data Science, model release,

model quality, and feature teams, as well as teams across DeepMind, to identify

and solve key problems to help make Gemini the next billion-user product.

Artificial intelligence will be one of humanity’s most transformative

inventions. At Google DeepMind, we are a pioneering AI lab with exceptional

interdisciplinary teams focused on advancing AI development to solve complex

global challenges and accelerate high-quality product innovation for billions of

users. We use our technologies for widespread public benefit and scientific

discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer

diverse learning opportunities and varied career pathways for those driven to

achieve exceptional results through collective effort.

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

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

RESPONSIBILITIES:

• Work closely with our Data Science counterparts in definition and driving the

goals for a Modern Data Warehouse.

• Architect and build scalable batch and real-time pipelines that power

experimentation, product analytics, and ML/AI training loops.

• Own data quality, reliability, and observability end-to-end, including

defining and operating Service Level Agreements (SLAs)/ Service Level

Objectives (SLOs) for critical production datasets.

• Mentor and grow other engineers, raising the technical bar through design

reviews, code reviews, and actionable feedback.

• Drive cross-functional engineering initiatives that span multiple teams,

translating ambiguous requirements into technical designs.