Flagler Health-posted about 12 hours ago
Full-time • Mid Level
Hybrid • New York, NY
11-50 employees

Flagler Health is a fast-growing healthtech company transforming how healthcare organizations deliver care through AI-powered workflow automation, remote patient engagement, and chronic care programs. Our platform has already served over 1.5 million patients and is trusted by providers and payers to improve efficiency, lower costs, and drive better outcomes. With a unique freemium model and minimal direct competition, we are poised to capture a large share of the $4.5T U.S. healthcare industry.

  • Design, build, and maintain backend services and web applications
  • Work on real-time web applications for audio and SMS communications with users (patients)
  • Implement and operate fault-tolerant, long-running workflows for asynchronous and background processing
  • Collaborate with frontend, product, and infrastructure teams to deliver reliable, compliant systems
  • Proven experience building highly available backend applications in a regulated environment (e.g., healthcare, finance, compliance-driven SaaS)
  • Proficiency in TypeScript and/or Python for backend service development
  • Experience interacting with backend APIs built using Node.js, Express, Mongoose, Twilio or similar frameworks
  • Experience with Temporal or similar distributed workflow orchestration systems (e.g., Cadence, AWS Step Functions, Conductor)
  • Solid understanding of distributed systems fundamentals, including retries, idempotency, and failure handling
  • Experience in healthcare technology or SaaS platforms at a medium-sized startup
  • Familiarity with HL7, FHIR, or EHR integrations
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Hands-on experience with CI/CD pipelines, infrastructure automation, and version control systems (e.g., Git)
  • Experience working in a monorepo setup (e.g., Turborepo, Nx)
  • Experience with distributed data or batch processing frameworks (e.g., Apache Spark, Databricks, or similar)
  • Exposure to DevOps practices, including containerization, observability, and deployment automation
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