Full Stack Software Engineer

OpenLoop is building healthcare infrastructure and telehealth support solutions for virtual care delivery. The company is seeking a Full Stack Software Engineer to design, build, and scale production-grade systems, including healthcare partner integrations, clinical data pipelines, communication infrastructure, and AI-powered services. The role involves collaborating across engineering, product, and clinical teams to turn partner needs into technical execution.

Responsibilities:

• Lead Deployments: Architect and execute technical integrations for new healthcare partners, customizing our platform to fit their unique workflows and legacy systems
• Bridge the Gap: Build the "last mile" of connectivity. You will design robust data pipelines to securely ingest clinical data and synchronize it with our AI services
• Communication Infrastructure: Configure and optimize voice and messaging channels to ensure reliable patient engagement across various telephony networks
• Cross-functional Work: Collaborate with engineering, product, and clinical teams to translate partner needs into crisp technical execution
• Other duties as assigned

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 5-15+ years of experience, Strong background in shipping production-grade software in modern cloud environments
• You are comfortable hopping across the stack—from APIs to databases to infrastructure
• Experience handling sensitive data with a security-first mindset
• Familiarity with industry-standard compliance requirements and data protocols is essential
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders and translate ambiguous partner needs into clear technical requirements
• Deep experience connecting disparate systems
• You understand the complexities of data ingestion, API interoperability, and third-party integrations
• Practical experience
• strong interest in working with Large Language Models (LLMs) and understanding how to operationalize them in production settings