Senior Platform Software Engineer - Oracle Health Data & Analytics

Oracle•United States,

17h

About The Position

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data Intelligence. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As Senior Platform Engineer, you will work with a team of data engineers responsible for the software design, development, and operations for our new and existing products. You should be able to architect broad systems interactions, be hands-on, be able to dive deep into any part of the stack, and have a good sense of cloud infrastructure and how optimized data pipelines should function. You should value simplicity and impact, work comfortably in a collaborative, agile environment, and be excited to learn. Our senior platform engineers are also the people who can work independently and provide technical leadership to the organization. You should have experience developing and operating high-scale services, and an understanding of how to make these cloud-scale services resilient. The ideal candidate will be technically strong and productive; someone who knows how to balance speed and quality with iterative and incremental improvements. You understand operational excellence and know-how to infuse a culture of being proactive within your team. You recommend and justify major changes to new and existing products and establish consensus with data-driven approaches. We work with internal and external customers based across the globe. Our work is focused in the Healthcare domain and is centered on creating data assets that enable clinical research. We are responsible for data pipelines producing our de-identified Real World Data (RWD) product from data acquisition to data publishing and subsequent consumption by consumers. The product currently is comprised of structured data, with an incredible opportunity on the horizon to incorporate a number of unstructured datasets into the RWD data product. These unstructured datasets range from clinician notes to scanned documents, clinical images, waveforms, and other forms of media captured by the EHR. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Requirements

Experience developing and operating high-scale services.
Understanding of how to make cloud-scale services resilient.
Technically strong and productive.
Ability to balance speed and quality with iterative and incremental improvements.
Understanding of operational excellence.
Ability to infuse a culture of being proactive within the team.
Experience with cloud infrastructure.
Understanding of how optimized data pipelines should function.
Ability to work independently and provide technical leadership.

Nice To Haves

Experience with Oracle Health Data & Analytics products.
Experience in the Healthcare domain.
Experience with unstructured data integration.

Responsibilities

Software design, development, and operations for new and existing products.
Architecting broad systems interactions.
Diving deep into any part of the stack.
Developing and operating high-scale services.
Making cloud-scale services resilient.
Recommending and justifying major changes to new and existing products.
Establishing consensus with data-driven approaches.
Working with internal and external customers globally.
Creating data assets that enable clinical research.
Managing data pipelines for de-identified Real World Data (RWD) from acquisition to publishing and consumption.
Incorporating unstructured datasets into the RWD data product.