Principal Software Engineer
Platform
Posted on 2/1/2022
INACTIVE
VideaHealth

51-200 employees

AI-powered dental diagnostic and treatment platform
Company Overview
VideaHealth, a Boston-based company, leverages artificial intelligence to enhance dental diagnostics and treatment plans, with its platform rooted in AI research from Harvard and MIT. The company's FDA-cleared AI platform, backed by the largest and most diverse data set in the market, has proven to increase diagnostic accuracy and improve case acceptance rates, making it a trusted partner for leading Dental Service Organizations (DSOs). Their collaboration with dental providers, as stated on their website, allows for greater transparency and elevated patient care through the use of advanced AI technology.

Company Stage

Series A

Total Funding

$27.5M

Founded

2018

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

4%

2 year growth

230%
Locations
Remote • Dorchester, Boston, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Airflow
React.js
NoSQL
Node.js
SQL
Docker
AWS
Terraform
REST APIs
AngularJS
Google Cloud Platform
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholder
  • Create value by working on the most critical efforts at Videa
  • Champion pragmatism and help the organization on its quest to constantly improve
  • Communicate effectively and efficiently by understanding your audience
  • Collaborate with teammates to design, build, automate testing of and support REST services at the application, identity, data pipeline/storage and machine learning layers
  • Scale data ingestion and processing pipeline for high throughput - ingress of over a million x-ray images per day!
  • Extend existing Data Lake capabilities to store and query petabytes of binary and textual data and the associated metadata, systematically arranged in S3, RDBMS, and NoSQL databases
  • Enhance platform for efficient data extraction for model training
  • Invent the future of deploying versioned machine learning models at scale
  • Advance our platform's deployment automation capabilities
  • Enable platform to agilely support complex interactions with our customers' and partners' technology
  • Bachelor's degree in Computer Science or related field with a keen interest in all things distributed
  • At least 8 years of experience building complex (secure, reliable, distributed and scalable) SaaS systems on AWS, Azure or GCP
  • At least 4 years of experience Node.js or Python backend services
  • Hands-on experience in building well-crafted APIs that make the front-end developers smile!
  • Experience with complex SQL/NoSQL database designs. Well-versed with schema normalizations and query optimization
  • A passion to utilize your skills to improve the world by positively impacting people's health!
  • Experience in implementing workflows, e.g., Apache Airflow, Luigi, etc
  • Experience working in a Docker-first environment with Kubernetes or AWS-ECS
  • Exposure to building front end code in React or Angular
  • Experience with Identity-as-a-Service providers (Auth0, OKTA, AWS Cognito, etc.)E
  • Experience with automated deployment tooling (CDK, Terraform, etc.)