Lead Interoperability Engineer

Lead Interoperability Engineer

Pay: $120,000 to $160,000 per year

Location: Scottsdale, AZ 85258

Type: Full-time

Hours: 8:00 AM to 4:30 PM

Entity: XpertDox, Inc.

Department: Data Automation

On-site or remote: On-site, Monday through Friday

Reports to: Chief Technology Officer

About XpertDox

XpertDox, Inc. is a physician-founded, venture-backed healthcare AI company headquartered in Scottsdale, Arizona, with a global delivery team in India. Our platform, XpertCoding, autonomously codes outpatient medical claims directly from clinical documentation using neural networks, machine learning, and natural language processing.

Position Summary

You will own the EHR integration engineering behind XpertCoding: the integrations that feed the platform, the Python automation that runs the coding pipeline, and the production fleet the pipeline runs on. XpertCoding connects to outpatient EHRs through four pathways, RPA, REST API, HL7 v2.x, and SMART on FHIR, and runs in production today on Epic, athenahealth, eClinicalWorks, NextGen, Centricity, Practice Fusion, and Experity. You will lead the Automation Python team, with engineers in the US and India reporting directly to you, set engineering and reliability standards, and keep integrations and automation dependable as the client base grows. Your time will be split roughly evenly between writing code and managing the team. This role is not for a people manager who no longer codes, and it is not for an engineer who has never managed anyone.

Key Responsibilities

In this role you will:

• Lead, manage, and mentor the US and India-based Automation Python team, setting coding standards, review practices, on-call coverage, and delivery expectations.
• Own delivery and maintenance of EHR integrations across all four pathways (RPA, REST API, HL7 v2.x, SMART on FHIR), including the RPA bot fleet, proactive vendor change-note review, and the sub-6-hour MTTR ceiling on RPA breakage.
• Own the Python automation that runs the XpertCoding pipeline end to end (download, codes, scrubber, upload, QC, and submit stages), including worker orchestration, the async batch system, and internal tooling.
• Own the production fleet in the Scottsdale datacenter: NUC provisioning, Python and SAS worker-slot allocation, capacity headroom ahead of onboarding, rack build and labeling, and VM cloning for disaster recovery and burst capacity.
• Keep the pipeline and integrations reliable through layered detection (real-time script alerts, QC-layer checks, and the operational dashboard), structured logging to MongoDB and S3, and clear escalation paths.
• Own the deployment path through Bitbucket and Bitbucket Pipelines, including the batch-canary pattern, rollback procedures, and branch and pull-request discipline on production and development branches.
• Deliver the client EHR connection within the onboarding window and lead per-client script customization during implementation.
• Partner with Client Success, Informatics, and Analytics on onboarding, technical scoping, and roadmap, and give integration feasibility input on the pipeline.
• Enforce HIPAA and data-security requirements across integrations and automation, including credential handling in AWS Secrets Manager, endpoint controls, and secure remote access for the global delivery team in India.

Required Qualifications

• 5 years in software, automation, or integration engineering, including team leadership or lead-engineer experience.
• Hands-on Python across automation, scripting, orchestration, and batch processing, written by you in the last two years.
• Hands-on EHR integration experience with HL7 v2.x, FHIR and SMART on FHIR, REST APIs, and RPA.
• Has formally managed engineers (assigning work, reviewing code, and owning performance), not only led projects, including engineers across the US and India or other distributed locations.
• Experience owning production systems and on-premise or fleet infrastructure, including provisioning, capacity planning, monitoring, and uptime.
• Strong CI/CD and version-control practice (Git or Bitbucket), including deployment and rollback.
• Working knowledge of HIPAA and healthcare data-security requirements.

Preferred Qualifications

• RPA tooling experience and an understanding of its operational trade-offs.
• Familiarity with AWS (EC2, S3, Secrets Manager), MongoDB, and SQL.
• Experience with interface engines (Mirth, Rhapsody, or Cloverleaf) and MLLP or SFTP delivery.

Location and Schedule

This role is on-site at our Scottsdale, Arizona headquarters, Monday through Friday, 8:00 AM to 4:30 PM. It is not a remote or hybrid role. Applicants from anywhere in the United States are welcome, with relocation to the Scottsdale area required before your start date. The role does not require travel.

Compensation

• Base salary of $120,000 to $160,000 per year, commensurate with experience.
• Eligible for incentive stock options.
• Relocation assistance available.

Benefits

• Health, dental, vision, and life insurance.
• 401(k) with matching.
• Unlimited PTO and parental leave.
• Wellness program, Friday lunch, and snacks.

To Apply

Apply at https://careers.xpertdox.com/

XpertDox, Inc. is an equal opportunity employer.