Full-Stack Software Engineer Job at ActiveProtective, Conshohocken, PA

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  • ActiveProtective
  • Conshohocken, PA

Job Description

Company Description

Active Protective Technologies is a medical-device company committed to revolutionizing fall-injury prevention and improving the lives of older adults. Our flagship product, the Tango Belt, integrates cutting-edge technology into a wearable device that mitigates fall-induced hip fractures—a leading cause of disability and fatal injury in seniors. The Tango Belt was designated an FDA Breakthrough Device and was recently granted marketing authorization by the U.S. Food and Drug Administration as a prescription medical device. Learn more at

Role Description

This is a full-time hybrid/on-site senior role for a Full-Stack Software Engineer at ActiveProtective located in Conshohocken, PA. The Software Engineer will be responsible for developing both front-end web/mobile applications, machine-learning data pipelines, as well as contributing to and leading the overall software development process. You will own end-to-end development—from backend architecture in AWS to polished user interfaces—ensuring clinicians, caregivers, and internal teams have reliable, intuitive tools to deploy and manage our devices at scale.

Qualifications

  • Education & Experience – Bachelor’s degree (or higher) in Computer Science or a related field and 5 + years building production-grade full-stack systems.
  • Full-Stack Expertise – Proven back-end development skills (Python, Node.js or similar), coupled with front-end development using modern JavaScript frameworks (React, Angular, Vue or similar) and strong CSS/HTML abilities.
  • Cloud Architecture – Hands-on success designing and deploying scalable solutions on AWS cloud platform.
  • Problem Solving & Collaboration – Exceptional analytical skills, clear communication, and a track record of effective teamwork and leadership.
  • Bonus Skills – Background with wearable/embedded devices/medical devices, mobile development (Flutter etc), experience with Machine-Learning/Deep-Learning pipelines.

Job Tags

Full time,

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