Operating System Engineer

VerityMD Inc

Mumbai, Maharashtra, India4h agovia LinkedIn

About the Role

VerityMD Inc is seeking a hands-on Operating System Engineer with experience building and supporting production healthcare software comparable to VerityOS. This is a building role, requiring hands-on full-stack development and production ownership.

Key Responsibilities

  • Implement healthcare billing workflows, including claim creation/submission, remittance processing, denial management, and patient balance reconciliation.
  • Deliver production integrations with EHRs, practice-management systems, or healthcare clearinghouses using APIs, FHIR, HL7, or other healthcare transaction interfaces.
  • Implement secure application architecture, including role-based permissions, audit trails, data protection, and credential management.
  • Design databases, develop backend services and user interfaces, write tests, deploy applications, and troubleshoot production issues.
  • Support products after launch, including resolving incidents, managing database changes, and maintaining integrations.
  • Build workflows involving task assignment, statuses, deadlines, escalations, and external system events.

Requirements & Tech Stack

  • Relevant healthcare product experience (mandatory): Must have personally developed substantial components of a live U.S. healthcare product involving practice management, medical billing/revenue cycle management, or EHR-connected patient engagement. Coursework, prototypes, and internal proofs-of-concept are not sufficient.
  • Billing and RCM engineering experience (mandatory): Hands-on experience implementing healthcare billing workflows, understanding the distinction between charges, claims, payments, adjustments, and patient responsibility.
  • EHR or healthcare-system integration experience (mandatory): Experience with APIs, FHIR, HL7, healthcare transaction interfaces, or secure data exchanges, including patient matching and reconciliation. General API experience is insufficient.
  • Secure application architecture (mandatory): Experience with role-based permissions, server-side access controls, audit trails, sensitive data protection, separation of customer data, secure credential management, backup, recovery, monitoring, and incident handling.
  • Hands-on full-stack development (mandatory): Ability to personally design databases, develop backend services and user interfaces, write tests, deploy applications, and troubleshoot production issues.
  • Production ownership (mandatory): Experience supporting a product after launch, including resolving incidents, releasing upgrades, managing database changes, and maintaining integrations.
  • Workflow automation experience (mandatory): Experience building workflows involving task assignment, statuses, deadlines, escalation, document handling, and external system events, including handling retries, duplicate events, and human review.
  • Platform experience serving multiple independent practices or customer organizations is strongly preferred.

Qualifications

  • AI and communications experience (strongly preferred): Deployment experience with AI document extraction, tool-using AI agents, voice agents/telephony integrations, or two-way SMS/e-fax/secure patient messaging.
  • Patient-facing and specialty experience (preferred): Experience with patient portals, caregiver access, scheduling, authorization workflows, procedure-resource scheduling, infusions, or other specialty-practice operations. Neurology experience is valuable but not mandatory.

Evidence Required with Application

  • Two relevant project examples, detailing:
  • Product and type of healthcare organization served.
  • Production status and duration of support.
  • Your exact role and personally built components.
  • Integrated EHRs, clearinghouses, or communication systems.
  • Scale of deployment (where disclosure is permitted).
  • A difficult technical problem and its resolution.
  • A professional reference to verify your contribution.
  • Confidential client names may be withheld; use anonymized descriptions and synthetic data.

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