- Design, build, test, and maintain backend services that support AI‑powered healthcare workflows.
- Build scalable APIs, data systems, integrations, and platform components for SuperDial’s voice and automation products.
- Partner closely with Product Management to clarify requirements, shape implementation plans, and connect technical work to customer impact.
- Develop and operate backend systems in a modern, GCP‑based cloud environment.
- Write clean, reliable, maintainable code with attention to testing, observability, performance, and security.
- Debug production issues, identify root causes, and improve system reliability and quality.
- Participate in code reviews, technical discussions, and design reviews with engineering teammates.
- Collaborate with frontend, infrastructure, machine learning, product, and operations teams to ship end‑to‑end product improvements.
- Help improve internal engineering practices, tooling, documentation, and developer experience as the team scales.
- Build with awareness of HIPAA‑sensitive data, compliance needs, and data integrity across healthcare workflows.
Requirements
- 3+ years of professional software engineering experience, ideally in backend, platform, or full‑stack product development.
- Strong programming skills in Python.
- Experience building and maintaining production backend services, APIs, and distributed systems.
- Comfortable working with RESTful or gRPC APIs and service‑oriented or microservices architectures.
- Hands‑on experience with cloud infrastructure; GCP experience is strongly preferred.
- Experience with relational and/or NoSQL databases such as Postgres, Redis, or DynamoDB.
- Familiarity with containerized environments such as Docker and Kubernetes.
- Exposure to infrastructure‑as‑code tools such as Terraform, or excitement to deepen that experience.
- Strong debugging skills and comfortable operating production systems.
- Systems thinking and a bias toward building reliable, maintainable services.
- Independently own well‑scoped projects while partnering effectively with senior engineers on complex technical decisions.
- Communicate clearly and work well with Product Management and cross‑functional partners.
- Curiosity about AI, voice technology, automation, healthcare infrastructure, and revenue cycle management.
- High ownership, low ego, and a bias toward action in a fast‑moving startup environment.
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