About Us:

Verisma helps healthcare organizations and providers streamline and automate their Release of Information (ROI) processes, specifically, to ensure secure and private handling and release of confidential health information. Built on over a decade of industry experience, we manage the release workflow from start to finish better than anybody else. Our patented, Microsoft Azure cloud based software automates workflow to improve turnaround times, reduce errors and drive down costs.

We recently crossed the chasm from a startup and have entered a funded growth phase. Our mission is to offer unmatched customer service and superior technology. We are building the best team in the industry by investing in the right people and technology to ramp up our product capabilities. We take pride in creating an environment that fosters innovation and professional development.

We are looking for a senior software engineer who can kick-start our DevOps function. This is an amazing opportunity to help shape the future of Verisma by creating the DevOps function from the ground up. In this role, you will be tasked with keeping our existing infrastructure stable while helping us create an automated, continuous delivery pipeline.

As we grow our small R&D team, you will have the opportunity to have significant impact on the product, processes, and the business.

Desired Skills and Experience

  • Migrating 100’s of TBs of files from local object storage to the cloud
  • Setup auto-scaling for an application that was just moved to the cloud as a VM
  • Building one-off processes to move existing objects from local storage to cloud storage
  • Debugging and fixing broken SQL and Powershell scripts
  • Working with Ops on automated backup and restore processes
  • Researching effects of containerizing Azure application and local development with Docker Compose
  • Establish processes and write tools to automate processes
  • Work with product owners, dev ops, and QA to create a continuous delivery process
  • Create relevant documentation to help capture decisions, like why a specific solution was used and what alternatives were rejected