Vi is the market-leading Enterprise-AI platform for health, serving the world’s largest health organizations - from Fortune 500 healthcare providers to pharma and consumer brands - helping them turn their data into patient and operational ROI. Vi’s platform is backed by $190M+ in R&D, serving over 188 million members daily and growing profitably.

We’re looking for a talented Software Engineer to join our amazing and fast-growing R&D team! Do you share our passion for helping people improve their health and well-being? Come join us!

As a Software Engineer, you will be making key determinations regarding the backend API and data platform, technologies, and scalability. You will work closely with our Engineering Manager to develop standards around how data is utilized and managed. You will be working with business and analytical teams to think about how data can be used to improve experiences for end users.

Responsibilities:

• Develop and maintain our backend data infrastructure
• Develop & maintain microservices using Python, Node.js
• Take part in architectural discussions and decisions
• Solve complex problems, maintain production grade data pipelines, define APIs, build web services, and more
• Work directly with others (engineers, data scientists and analysts) to develop a solid understanding of the business applications and analytical needs
• Work and collaborate with other engineers as part of a team
  
  

Requirements:

• BA/BS degree in Computer Science or a related technical field or equivalent practical experience
• 3+ years of backend development experience, preferably data oriented
• 2+ years of python or node.js experience
• Experience in AWS, Docker, k8s
• Experience with Relational and NoSQL databases, data workflow management
• Experience with designing and building RESTful APIs
• Experience designing, scaling, debugging, and optimizing production grade systems
• Familiarity with distributed system concepts like parallel processing, consistency, replication, and scalability
• Experience writing infrastructure as code (CloudFormation, AWS CDK, Terraform)
• Previous exposure to large-scale systems design