Quality Assurance Engineer

Ceiba Healthcare; Fatih; Hybrid; TRY 100,000 - 130,000; Full time

Job summary

A healthcare technology company is seeking a Quality Assurance Engineer to validate and scale integrations for medical device data. This hybrid role involves designing test cases for real-time data streams and developing an automated test framework. Ideal candidates have 2+ years of QA experience in healthcare or IoT, a relevant degree, and strong manual testing skills. This position offers opportunities to contribute to critical healthcare technology solutions.

Qualifications

• 2+ years experience as QA Engineer, ideally in healthcare, IoT, or data-intensive systems.
• Strong knowledge of manual testing practices and experience writing clear test cases.
• Ability to read and interpret structured data formats.

Responsibilities

• Design and execute manual test cases for real-time data streams.
• Develop and maintain automated test scripts.
• Collaborate with developers to identify issues and validate fixes.

Skills

Manual testing practices

Test automation (Python/Java, Robot Framework, pytest)

Analytical and problem-solving skills

Understanding of structured data formats (HL7, JSON, XML, CSV)

Education

Bachelor's degree in Computer Science, Biomedical Engineering, or Electronics Engineering

Tools

Azure DevOps

Jira

Job description

About the job Quality Assurance Engineer

Company: Ceiba Health

Employment Type: Full-time

About the Role:

At Ceiba Health, we are building the future of IoMT and clinical data integration. Our Medical Device Integration (MDI) platform connects medical devices, parses HL7/ADT messages, and ensures reliable patient data flow into hospital systems. We are looking for a QA Engineer who can help us validate and scale these mission-critical integrations.

This role is hybrid: you will design and execute manual test cases for live data flows today, while also contributing to the development of an automated simulation framework that replays historical device data for validation in the future.

Responsibilities:

• Design and execute manual test cases for real-time data streams (waveforms, vitals, HL7/ADT messages, device connectivity).
• Develop and maintain automated test scripts to validate data accuracy across multiple devices and message types.
• Collaborate with developers to identify issues, reproduce bugs, and validate fixes in both live and test environments.
• Contribute to building a simulation-based test framework that can replay historical device data and validate expected outcomes.
• Analyze logs, HL7 messages, and raw device outputs to ensure accuracy and reliability.
• Create, manage, and own bug tickets in Azure DevOps, ensuring clear reproduction steps, severity assignment, and validation of fixes.
• Document test cases, results, and regression test plans.

Requirements

• 2+ years experience as QA Engineer, ideally in healthcare, IoT, or data-intensive systems.
• Bachelors degree in Computer Science, Biomedical Engineering, Electronics Engineering, or a related field.
• Strong knowledge of manual testing practices and experience writing clear test cases.
• Hands-on experience with test automation (Python/Java, Robot Framework, pytest, or similar).
• Ability to read and interpret structured data formats (HL7, JSON, XML, CSV).
• Familiarity with Agile/Scrum workflows.
• Strong analytical and problem-solving skills; detail-oriented.

Nice to Have

• Experience with MDI (Medical Device Integration) projects.
• Experience using Azure DevOps, Jira, or similar tools to manage test cases and defects.
• Prior experience with EHR integrations or hospital IT systems.
• Ability to read and interpret HL7 / ADT messages, raw device logs, or structured data formats (JSON, XML, CSV).
• Knowledge of cloud environments (Azure, AWS, GCP).
• Experience with performance testing and monitoring data pipelines.