Posted in Information Technology 30+ days ago.
This job brought to you by eQuest
Location: San Jose, California
Flex is a leading sketch-to-scale™ solutions company that designs and builds intelligent products for a connected world. With more than 200,000 professionals across 30 countries and a promise to help make the world Live Smarter™, the company provides innovative design, engineering, manufacturing, real-time supply chain insight and logistics services to companies of all sizes in various industries and end-markets. For more information please visit our careers page at www.flex.com.
Do you want to want to be part of the Digital Health revolution that’s changing the face of healthcare? Are you passionate about the convergence of the Internet of Things (IoT) and healthcare and the important role that big data and analytics are playing in improving patient outcomes? Then come join us at BrightInsight. BrightInsight, a Flex Company, provides the leading global regulated digital health platform for biopharma and medtech. Our medical-grade Internet of Things (IoT) platform is built under a Quality Management System to support and optimize regulated drugs, devices and software through integrated data and actionable insights to enable customers to drive increased patient adherence and engagement.
We are a start-up comprised of experienced digital health professionals with a mission of making digital health innovation easy for our customers through our end-to-end digital health capabilities and scalable, medical-grade platform.
The Sr. DevOps Engineer will be based in San Jose, CA, and will be responsible for design and implementation of Cloud automation and orchestration for the BrightInsight platform, ensuring environments are deployed and running with high performance, quality, security, and compliance. The BrightInsight platform is a cloud-based platform for the healthcare industry, and is used to manage, process, and store patient health data to be used for patient diagnosis and management. You will work closely with the product, development, data science, and operations team to ensure successful execution of the projects.
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