Senior Software Engineer

1 week ago

Menlo Park, CA, United States Metric Bio Full time
Overview

Direct message the job poster from Metric Bio

BD Executive | Metric Bio | Digital Health

Were partnering with a fast-growing healthcare AI company building production-grade software that connects advanced machine-learning models directly into real clinical workflows. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data-intensive systems supporting clinician-facing applications.

Youll work on systems that handle voice-driven clinical documentation, structured report generation, and backend services that operate at scale in a regulated environment.

Responsibilities
  • Build and operate full-stack services supporting clinician workflows and AI-powered applications
  • Develop systems that transform voice dictation and model outputs into structured clinical reports
  • Create workflows for drafting, editing, and final clinician sign-off
  • Design and maintain low-latency, scalable backend services in the cloud
  • Work with large volumes of structured and unstructured data, including metadata and model outputs
  • Partner closely with machine-learning and infrastructure teams to bring inference into production
  • Own services end-to-end: design, implementation, deployment, and ongoing reliability
Qualifications
  • Demonstrated ability to build and ship full-stack systems in production environments
  • Experience designing, deploying, and operating cloud-based services (AWS preferred)
  • Experience working with distributed systems and production reliability concerns
  • Familiarity with a modern backend stack, such as:
  • AWS (e.g., EC2, S3, ECS/EKS, IAM, monitoring/logging tools)
  • Python-based backend services (e.g., FastAPI or similar frameworks)
  • Relational databases (e.g., PostgreSQL or equivalent)
  • Strong ownership mindset and sound engineering judgment
Nice to Have
  • Experience with report generation, document workflows, or structured text pipelines
  • Exposure to ML inference pipelines or AI-powered production systems
  • Background working in healthcare or other regulated environments
Seniority level
  • Not Applicable
Employment type
  • Full-time
Industries
  • Hospitals and Health Care

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