Support Engineer | Teleradiology

Harrison.ai · Remote · Remote, USA ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$80k – $120k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • HL7 v2.x + DICOM
  • 24/7 on-call rotation
  • Healthcare AI sector
  • Level 2 support

Join the Service Excellence Squad as the primary support presence in the United States. You will bridge three distinct areas: 24/7 teleradiology operations, commercial AI SaaS products, and internal corporate IT.

The role involves troubleshooting clinical workflows, managing customer SLAs, and maintaining internal systems. You will act as a service integrator, resolving issues across platforms, vendor systems, and customer networks in a regulated healthcare environment.

What you'll do

  • Provide Level 2 support to US radiologists for PACS, RIS, and diagnostic viewers
  • Troubleshoot HL7 v2.x messages including ADT, ORM, ORU, and MDM segments
  • Resolve DICOM connectivity issues such as C-STORE, C-FIND, and image routing
  • Manage patient identity merges and daily interface reconciliation tasks
  • Own Level 2 cases in Salesforce for AI products against contractual SLAs
  • Diagnose study eligibility failures based on DICOM header data
  • Administer business SaaS apps like Office 365, Atlassian, and Zoom Phone
  • Manage end-user devices via Microsoft Intune and Jamf
  • Operate hosted cloud infrastructure on Google Cloud and AWS
  • Participate in a 24/7 on-call rotation for critical incident response

What you'll need

  • 4+ years in technical support spanning end-user IT and production systems
  • 2+ years supporting clinical systems like PACS, RIS, or EMR in healthcare
  • Proven HL7 v2.x troubleshooting skills including MLLP and ACK/NACK
  • Hands-on DICOM troubleshooting experience with AE titles and ports
  • Experience configuring healthcare integration engines and routing rules
  • Strong knowledge of Microsoft 365, Entra ID, and device management
  • Linux server administration experience on Ubuntu LTS or RHEL
  • Understanding of HIPAA compliance and healthcare data security
  • Willingness to join a 24/7 on-call rotation

Nice to have

  • Experience with Konica Minolta Exa Platform or similar PACS/RIS
  • Knowledge of integration engines like Mirth Connect or Cloverleaf
  • Familiarity with EMR/EHR platforms such as Epic or Cerner
  • Scripting skills in Python, Bash, or PowerShell for automation
  • Experience with Kubernetes, FHIR, and OpenTelemetry
  • Background in teleradiology operations or medical device support

Stack

  • HL7 v2.x
  • DICOM
  • Linux
  • Google Cloud
  • AWS
  • Microsoft Intune
  • Jamf
  • Salesforce
  • Kubernetes
  • Python

How you'll work

  • Remote work options with flexible hours
  • Primary support presence for the United States
  • 24/7 on-call rotation required
  • Occasional travel may be required
  • Support for Windows, macOS, and Linux environments

What you get

  • Yearly learning and development budgets
  • Mentoring and transparent growth framework
  • Inclusive family support policies
  • Flexible work arrangements
  • Backed by world-class investors