Verily

Mobile Software Engineer (iOS)

Boston, Massachusetts · Full-time

Work authorization required$124k-$185kDetected 31 days ago

SwiftiOSAndroidBackend DevelopmentFull-Stack DevelopmentCode ReviewData ScienceResearchCommunicationCollaboration

About the role

Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day.
Help all functions understand engineering tradeoffs to ensure smooth implementation across the system.

Design, implement, launch and maintain critical user-facing features in an iOS app that is core to Verily's business, with opportunities for end-to-end and cross-platform feature development.
Participate in code reviews, design reviews, and technical discussions.
Collaborate extensively across engineering teams (mobile, BE, FE) and with cross-functional teams (e.g. UX, PM, Test, QE) to deliver high quality, regulated, and impactful software.

3+ years of experience in developing iOS mobile applications in an industry setting.
Native app development experience in Swift and SwiftUI.
Minimum Qualifications
Strong CS fundamentals with BS Computer Science degree OR equivalent combination of experience and education.
Strong communication and collaboration skills.

Knowledge of modern iOS frameworks and architecture (e.g. TCA).
Passionate about UX with a high empathy for users.
Familiarity with automated testing.
Some experience with full-stack development, including backend services and web frontends.
We'd love to see your hobby project on the App Store!
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
Verily Life Sciences LLC is an equal opportunity employer.
For our EEO Policy Statement, please click here.

The US base salary range for this full-time position is $123,500 - $185,000 + bonus + benefits.

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.
Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Mobile is at the heart of Verily's mission of unifying cutting-edge research and healthcare.
You will own features of Verily Me, our patient-facing app, and will work closely with Product, UX, Test, and compliance owners to deliver a best-in-class health experience.
Your work will help our users manage their chronic health conditions and general health while participating in important clinical research.

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.
Description
Mobile is at the heart of Verily's mission of unifying cutting-edge research and healthcare. You will own features of Verily Me, our patient-facing app, and will work closely with Product, UX, Test, and compliance owners to deliver a best-in-class health experience. Your work will help our users manage their chronic health conditions and general health while participating in important clinical research.
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.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

This listing is sourced directly from Verily's careers page and normalized into a canonical job model.