Full-Time

Senior Software Engineer

Backend

Updated on 5/23/2024

VideaHealth

VideaHealth

51-200 employees

FDA-cleared AI dental diagnostic platform

Senior

Cambridge, MA, USA

Required Skills
Microsoft Azure
Python
NoSQL
Node.js
SQL
AWS
REST APIs
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer Science or related field
  • At least 4 years of experience building complex SaaS systems on AWS, Azure, or GCP
  • At least 4 years of experience in Node.js or Python backend services
  • Hands-on experience in building APIs
  • Experience with complex SQL/NoSQL database designs
Responsibilities
  • Build strong relationships with software and machine learning teams
  • Create value by working on critical efforts
  • Champion pragmatism and help improve the organization
  • Communicate effectively with different audiences
  • Collaborate to design, build, and support REST services
  • Extend Data Lake capabilities
  • Invent the future of deploying machine learning models
  • Advance platform’s deployment automation capabilities

VideaHealth provides a dental AI platform trusted by DSOs and dentists, utilizing FDA-cleared AI algorithms to enhance diagnostic accuracy and treatment plan values. The platform is rooted in AI research from Harvard and MIT, and is backed by leading venture capital firms.

Company Stage

Series A

Total Funding

$27.5M

Headquarters

Boston, Massachusetts

Founded

2018

Growth & Insights
Headcount

6 month growth

3%

1 year growth

2%

2 year growth

185%

Benefits

Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us

A team led by a VP of Engineering who spent the first half of his career as an engineer who understands what engineers need to thrive and whose mission is for Videa to be the best team you'll ever join.

Competitive pay and equity.

Agile organization where being senior translates to being a mentor and role model for others. We lead by example.

Technical challenges on the leading edge of innovation where software and machine learning