Software Engineer, Gemini App, Data Engineering, DeepMind

Position: Staff Software Engineer, Gemini App, Data Engineering, DeepMind
# Staff Software Engineer, Gemini App, Data Engineering, Deep Mind Google  Deep Mind Full  Timestaff Seattle, Washington, USPosted Yesterday##

Role Overview Google Deep Mind is hiring a Staff Software Engineer, Gemini App, Data Engineering, Deep Mind. This is a full-time role in Seattle. posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Go Apache Snowflake Big Query Spark Airflow Telemetry ORSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

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

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.

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 Big Query/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 jobThe Gemini Apps Data Engineering team architects and operates the data pipelines that deliver critical telemetry across all Gemini surfaces. We 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.

Leveraging your experience in building and running scalable systems, and utilizing modern data warehouse infrastructure at Google, you will 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 Deep Mind, 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 Deep Mind, 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…