Full-Stack Software Engineer

We need your help. Decision Point has an aggressive product roadmap and needs a strong full-stack developer to help us accelerate the build-out of our new product ecosystem (currently in private beta with a handful of clients). We’re looking for someone who enjoys jumping into unsolved territory and has the ability make key platform architecture decisions within the first 12 months. If you’ve got what it takes and are interested in the position description below, I can’t wait to share our product backlog with you in greater detail.

– Craig Johnson (Founder, Chief Science & Technology Officer)

 

The Position
In this role, you will focus on the development of our health plan member & provider engagement platform. The product is currently being using by 1,000+ users across a handful of heath plans. You’ll be the fourth software engineer on our growing software development team and will collaborate with product managers, data engineers, and a product designer to lay out specs and ship great code.

Skills & Experience
We value curiosity to explore and quickly learn new tech more than we value experience with specific technologies. That said, our existing stack leverages modern web application frameworks. Ideally, you are familiar with some of the following:

  • Back End: Node.js, MongoDB, Neo4J, Django, Postgres
  • Front End: Angular, HTML5, CSS, Javascript
  • Technical design & (micro service) architecture

And are comfortable working in a team that leverages

  • Git source control (we use bitbucket)
  • Jira for agile workflow

Bonus points if you have…

  • Cloud chops and can help us better leverage AWS for speed & scale
  • Database chops for supporting speedy front-end rendering of large data sets

A Little More About Decision Point
We are a rapidly growing healthcare company in the healthcare market. This year, we’ll nearly double in size. Our products & support services advise healthcare insurance and provider organizations on how to best target and engage their members so that members make better health decisions. The result? Our clients can identify their sickest members before they get sick and connect these members with the health and social support services they need to manage their condition.

Our innovative approach to member and provider engagement strategy and orchestration leverages cutting edge machine learning techniques to better inform clients on how to take action. Guided by our team of industry recognized healthcare and technology experts, with backgrounds from NASA, Microsoft, E&Y, health plans, and other great organizations, we are putting healthcare data to good use.

 

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