Software Engineer III, Verily Me

About the role

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. As a Software Engineer at Verily, you will play a pivotal role in developing and enhancing products that are focused on the promise of precision health. Verily's core strategy to advance precision health is by closing the gap between research and care. The Verily Me team is building exciting technology for our Patients/Participants that drive engagement and unlock user value. We are a team of full-stack and backend developers building an amazing platform that delivers personalized, data driven experiences.

Responsibilities

• Work closely with the development team to design, develop, and deliver new full-stack software features across a range of Verily products.
• Come up with ideas to technical design problems, compare options, and propose solutions.
• Develop using industry-standard tools including GitHub, Google Cloud, Go, React, Docker, and Terraform to name a few.

Requirements

• BA/BS degree in Computer Science, Electrical Engineering, or equivalent practical experience in software development.
• 3+ years of experience as a software developer in an industry setting.
• 2+ years of experience experience with React.
• Expertise in building software and systems on any of: GCP, AWS or Azure (GCP preferred).
• Demonstrated experience with Go, TypeScript, and/or SQL.
• Experience with designing and implementing scalable data processing pipelines with BigQuery or other analytics-oriented databases.
• Education or exposure to healthcare or life sciences, with emphasis on HL7 FHIR.
• Ability to work independently and collaborate effectively.
• Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
• Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.

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