Design and implement backend services that support mission-critical workflows for AI-powered healthcare tools.

Build scalable APIs, data pipelines, and infrastructure that ensure high reliability, security, and performance.

Collaborate with cross-functional teams, including product, frontend, and machine learning engineers, to ship end-to-end features.

Lead backend architecture decisions, contribute to system design reviews, and promote best practices in code quality, testing, and monitoring.

Improve developer experience by refining build systems, CI/CD pipelines, and internal tooling.

Help maintain compliance and data integrity across a HIPAA-sensitive stack.

5+ years of experience in backend software engineering, ideally in high-scale, cloud-native environments.

Strong programming skills in Python.

Deep experience building RESTful or gRPC APIs, and working with microservices architecture.

Hands-on experience deploying and operating backend systems on GCP.

Proficiency in relational and/or NoSQL databases (e.g., Postgres, Redis, DynamoDB).

Comfortable working with containerized environments (Docker, Kubernetes) and infrastructure-as-code tools like Terraform.

Strong systems thinking and a bias for building reliable, maintainable services.

Be part of a fast-growing AI startup transforming the healthcare industry.

Own meaningful technical scope and contribute directly to product impact.

Join a mission-driven, collaborative, and ambitious team.

Enjoy competitive salary, equity, and benefits - including health, dental, and vision coverage.

SuperDial is redefining AI in healthcare. We specialize in voice and LLM-powered solutions for revenue cycle management 92 helping clinics and health systems operate faster, smarter, and more efficiently. Backed by top-tier investors, we92re growing quickly and hiring engineers to build the next generation of healthcare infrastructure.