Full-Stack Engineer — Remote, Healthcare AI Impact

Feedinkoo; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Unaccrued PTO

Training opportunities

Job summary

Pearl is shaping the future of dentistry with AI solutions for higher standards of care worldwide. We design and deploy backend and frontend components powering our clinical product suite and scale microservices in a healthcare context.

This role emphasizes collaboration with ML, product, and engineering teams to deliver reliable features. We value ownership, speed, and continual learning, with remote work and strong compensation.

Qualifications

• 5+ years of professional software engineering experience.
• Strong knowledge of backend development and cloud-native infrastructure.
• Proficiency in modern frameworks/languages.
• Deep understanding of RESTful APIs and event-driven architecture.
• Solid SQL skills with an eye for performance and scale.
• Familiarity with modern front-end technologies and responsive design principles.
• Effective communicator across technical and non-technical stakeholders.
• Eagerness to solve meaningful problems in healthcare using cutting-edge tech.

Responsibilities

• Designs, builds, and scales robust backend and frontend components for our clinical product suite.
• Drives architecture for microservices and event‑driven systems (Kafka, SQS, etc.).
• Collaborates cross‑functionally with ML, product, and engineering teams to develop intelligent features.
• Ensures high‑quality software via automated tests, code reviews, and observability practices.
• Mentors other engineers and advocates for best practices in coding, security, and DevOps.
• Contributes to a culture of ownership, innovation, speed, and continual learning.

Skills

Backend development

Cloud-native

RESTful APIs

SQL

Frontend technologies

Testing & observability

DevOps

Mentoring

Tools

Kafka

SQS

RESTful APIs

Event-driven

Job description

Pearl is shaping the future of dentistry with AI solutions for higher standards of care worldwide. We design and deploy backend and frontend components powering our clinical product suite and scale microservices in a healthcare context.

This role emphasizes collaboration with ML, product, and engineering teams to deliver reliable features. We value ownership, speed, and continual learning, with remote work and strong compensation.