Who we are

Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and intelligent workflows, we help providers, value-based care organizations, payers, life sciences, and digital health companies drive business results, strengthen provider trust, and improve operational efficiency. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus is building the foundation for a more connected, precise, and effective healthcare system.

What we're looking for

We’re hiring a Staff Integrations Engineer to operate as a high-impact individual contributor at the intersection of software engineering and solution delivery. This is a deeply hands-on role: you’ll write production-grade code, build and operate data systems, and own the technical strategy and execution of complex customer integrations.

You’ll lead integrations across HIEs, EHRs, claims systems, labs, and other healthcare data sources. This includes turning ambiguous requirements into clear designs, building secure and reliable data pipelines, and ensuring ongoing system performance through monitoring and observability.

You’ll also serve as a senior technical advisor to customers—guiding architecture decisions, troubleshooting issues, and shaping how integrations are implemented. This role is for someone who builds and improves systems, not just configures them.

The ideal candidate is comfortable working across the stack: parsing messy HL7 payloads, building services in Go, scripting in Python, and leading technical conversations with customers.

Key responsibilities

Lead and Deliver Integrations

Own end-to-end delivery of customer integrations, including State HIE and ADT feeds—from scoping through production support

Design and implement data pipelines for ingestion, transformation, and delivery

Build roster management workflows (ingestion, reconciliation, lifecycle management)

Architect reliable and scalable data transmission mechanisms (APIs, SFTP, event-driven systems)

Establish automated QA and validation frameworks to ensure data integrity

Act as a Technical Advisor

Partner with customers to design integration approaches and guide technical decisions

Translate ambiguous requirements into clear, implementable solutions

Advise on interoperability best practices and system architecture

Align customer needs with platform capabilities

Troubleshoot and Improve Systems

Serve as an escalation point for complex integration and data pipeline issues

Debug across the full stack, from transformation logic to downstream delivery

Identify root causes and implement durable, code-driven fixes

Reduce operational overhead by eliminating recurring issues through automation

Build Internal Systems and Tooling

Develop monitoring and observability systems for integration health

Create alerting, dashboards, and automated diagnostics

Build internal tools to accelerate implementation, QA, and troubleshooting

Continuously improve the scalability and reliability of integration systems

You’re a good fit because you have

7+ years of experience in software, integrations, or forward-deployed engineering

Strong programming skills (Python, Go, or similar) with a track record of building production systems

Experience with healthcare interoperability standards (HL7, FHIR, ADT, CDA

AI-native development

Proven ability to design and build data pipelines and integrations—not just configure them

Strong SQL skills and experience working with large, messy datasets

Experience building monitoring and observability systems

Ability to debug complex distributed systems end-to-end

Experience working directly with customers in a technical, consultative role

Excellent communication skills across technical and non-technical audiences

Strong ownership and ability to independently drive ambiguous problems to completion

Familiarity with security and compliance requirements (e.g., HIPAA, SOC 2)

A desire to improve healthcare data infrastructure