Grand Rounds

Platform Engineering at Grand Rounds: The Platform Engineering team at Grand Rounds builds the foundational components and services that allows our technology teams deliver the business applications which drive the insights from healthcare needed to match our members with the highest quality providers.

Why we need you: Patient data portability is the key to modern healthcare, and your team will be directly responsible for exposing the interfaces and access to data that will lead to differentiating innovation for our organization.

As a key part of our platform services team, you'll be redefining our platform into an API-first service oriented architecture. Some challenges you will solve: authentication and authorization, low latency APIs with end-to-end tracing, and the implementation of event sourcing and CQRS patterns.

We're built on Amazon Web Services and are widely adopting GraphQL along with the industry FHIR standard. Our applications are primarily written in Ruby, but we believe in using the best tools, techniques, framework or languages for the job. We have an internally-defined techradar architecture process where new technologies are constantly vetted through assess, trial, and adoption phases.

We want to bring the best accessible user experience our Members. To do this we're investing in delivering mobile first, and quickly iterating on the next generation of our mobile experience.

We've been very successful as a company and our platform has delivered better outcomes for our Members. The challenges we face on this front are building for the next generation of scale we need going forward. On a systems level, the challenges are defining the correct business contests and breaking up a monolithic platform to leverage a larger service oriented architecture to achieve this.

We're ingesting very large data sets to gain the insights we need to inform Members of the best doctors and best treatment decisions. To support this, we're building data pipelines, ETL and warehousing, and data services to gain insight, creating data models, and ultimately surfacing those to our patients in product.

To deliver at the pace we need to, we're re-investing in the automation around our continuous integration and delivery pipelines. Creating a modern development environment where teams are autonomous, loosely coupled and tightly aligned.