Staff Software Engineer, Gemini App, Data Engineering, DeepMind

DeepMind; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health coverage along with dental, and

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google LLC in Mountain View, CA is seeking a Staff Software Engineer for the Gemini App Data Engineering team. You will architect and operate large-scale data pipelines delivering telemetry across Gemini surfaces, enabling rapid analytics and ML/AI training at a global scale.

The role requires 8+ years of software development, expertise in Go/C++, and experience leading a small team to define technical direction.

Qualifications

• Bachelor's degree in Computer Science or related field is required or equivalent practical experience.
• 8 years of experience in software development.
• Experience with Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or similar infrastructure is preferred.
• 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 engineers.
• Ability to address daily business data requirements and maintain Gemini App's growth.

Responsibilities

• Architect and operate data pipelines delivering telemetry across Gemini surfaces.
• Scale data pipelines for analytics and ML/AI training loops.
• Own data quality, reliability, and observability including SLAs/SLOs for critical datasets.
• Mentor and grow engineers, conducting reviews and providing actionable feedback.
• Drive cross-functional initiatives across multiple teams to meet business data needs.

Skills

Go

C++

Leadership

Distributed data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Flink

Beam

Airflow

BigQuery

Snowflake

Job description

Staff Software Engineer, Gemini App, Data Engineering, DeepMind

Share Staff Software Engineer, Gemini App, Data Engineering, DeepMind

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• 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

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; Irvine, CA, USA.

• 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

• 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.

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 .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionally by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.