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DeepHealth

AI-driven medical imaging and informatics platform

Senior Developer

Full-Stack EngineeringUpdated on Nov 13
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • 8–10 years of experience.
  • Experience in the healthcare domain is preferred.
  • Strong understanding of front-end and back-end technologies.
  • Experience with cloud platforms, DevOps, databases, and Agile methodologies.

Responsibilities

  • Develop, test, and maintain scalable front-end and back-end applications.
  • Work with modern frameworks and libraries such as React, Angular, and Vue.js, and backend technologies such as Node.js, .NET, Java, Python, Ruby on Rails, or similar.
  • Develop RESTful APIs and microservices to support front-end integrations.
  • Work on healthcare applications, ensuring compliance with healthcare standards such as HL7, FHIR, HIPAA, HITECH, and ICD.
  • Optimize applications for handling sensitive healthcare data, ensuring performance and security.
  • Develop and deploy applications on cloud platforms such as AWS, Azure, or Google Cloud.
  • Implement CI/CD pipelines, automated deployments, and containerization technologies such as Docker and Kubernetes.
  • Design, manage, and optimize relational databases such as MySQL and PostgreSQL, and NoSQL databases such as MongoDB and DynamoDB.
  • Ensure data consistency, performance tuning, and secure handling of healthcare data.
  • Work within Agile Scrum or Kanban teams to deliver incremental value in sprints.
  • Collaborate closely with Product Owners, UI/UX designers, and QA engineers.
  • Participate in sprint planning, reviews, and retrospectives.
  • Provide technical mentorship to junior developers and ensure adherence to coding best practices.
  • Architect and design technical solutions based on business requirements.

About the Company

DeepHealth

AI-driven medical imaging and informatics platform

DeepHealth provides AI-powered medical imaging and health informatics solutions that help radiologists analyze X-rays, CTs, and MRIs by automating parts of image interpretation, highlighting areas of concern, and delivering quantitative insights. It works by integrating AI into radiology workflows via cloud-based software, enabling automated image analysis, scoring, and reporting within enterprise imaging systems. The company differentiates itself through its integration with RadNet and strategic acquisitions of iCAD and CIMAR UK, expanding breast imaging capabilities, interoperability, and the scale of its deployments. Its goal is to accelerate the adoption of AI in real-world healthcare, improve diagnostic accuracy and consistency, and streamline imaging workflows across hospitals and health systems.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Cambridge, MA
Founded
2017

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