The Company

Oneview Healthcare is a global healthcare technology company that empowers hospitals and care providers to deliver better patient experiences through connected digital solutions.

This role sits between QA Engineering and Integration Engineering, ensuring complex integrations are tested end-to-end and meet both technical and clinical workflow requirements.

Role Overview

The Integration QA Engineer is responsible for ensuring the quality, reliability, and performance of integrations between the Oneview platform and third‑party hospital systems, including Electronic Health Records (EHRs), nutrition management, clinical communications, virtual care, building management systems, IoT and RTLS.

This role combines deep QA expertise with strong understanding of system integrations, working across product, engineering, and customer environments to validate end‑to‑end workflows across APIs, integration engines, and user-facing applications.

You will act as a quality owner within the customer facing engineering team, ensuring integration scenarios are thoroughly tested, defects are identified early, and releases are delivered with confidence. This includes both hands-on testing and close collaboration with Integration Engineers, Product, and external stakeholders.

Key Responsibilities

Integration Quality & Testing

Plan and execute integration testing across third-party systems, including EHRs and partner platforms.

Validate end-to-end workflows across APIs, integration engines, backend services, and UI layers.

Design and execute functional, exploratory, regression, and system tests, including integration scenarios.

Collaborate with customers, partners, and vendors to validate integrations in test and production environments.

Test Design & Execution

Define test scope based on both business functionality and system architecture.

Create and maintain test cases covering business, technical, and edge-case scenarios.

Execute testing across backend services, web, mobile, tablet and hardware platforms.

Contribute to automation strategies to reduce manual regression effort.

Integration Analysis Support

Work with Integration Engineers to understand:

Message flows

Data mappings

Transformations and filters

Validate integrations against defined contracts and workflows.

Ensure correct handling of sensitive data (PII / PHI) within test scenarios.

Defect Management & Troubleshooting

Identify, document, and track defects using Jira and appropriate QA tools.

Diagnose integration and system issues to determine root cause.

Collaborate across Engineering, Product and Integration teams to resolve issues quickly.

Environment & Release Support

Deploy and maintain test environments using CI/CD pipelines (e.g. Octopus).

Support integration validation for releases and customer implementations.

Ensure test coverage and quality gates are met prior to release.

Responsible for manifest creation and management.

Responsible for the validation process of the release handover (by the engineering teams)

Monitoring & Continuous Improvement

Support validation of integration monitoring and alerting.

Identify opportunities to improve:

QA processes

Integration test coverage

Automation and efficiency

Documentation & Collaboration

Document test scenarios, integration behaviours, and known issues.

Contribute to knowledge base and test artefacts.

Participate in Agile ceremonies (planning, refinement, stand-ups, retrospectives).

Work closely with Product, Engineering, Technical Solutions, and external partners.

Work closely with Support engineers to troubleshoot and perform RCA for customer incidents

Work with support and customer facing engineers to process and document SOPs

Skills & Experience

Experience

5+ years’ experience in QA, Test Engineering, or Integration Testing.

Experience working in Agile product environments.

Experience testing integrations across APIs or integration platforms.

Technical Skills

Understanding of:

APIs (REST/SOAP)

Integration engines (e.g. Mirth Connect preferred)

Healthcare standards (HL7, FHIR) desirable

Experience with:

Test management tools (e.g. TestRail)

Defect tracking tools (e.g. Jira)

CI/CD pipelines and deployment tooling

Database knowledge (SQL) essential

Exposure to cloud platforms (AWS/Azure) required

Experience with AI tools:

Prompt engineering for test automation

LLM-Powered Test Infrastructure

Risk and Privacy Management over AI tools

Evaluating and Refining AI outputs
Strategic AI Adoption

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