Test Automation Specialist

Actalent; Risch-Rotkreuz; Vor Ort; CHF 125.000 - 165.000; Vollzeit

Zusammenfassung

Actalent in Switzerland is seeking a Software Engineer in Test to drive quality at the intersection of hardware, software and biological assays. You will architect end-to-end automated test strategies for our molecular diagnostic platforms, integrating test frameworks and robotics to validate interfaces and ensure data integrity.

The ideal candidate has a degree in CS/EE/Medical Technology, at least five years in SET or test automation, and strong coding principles.

Qualifikationen

• Degree in CS/EE/Medical Technology or equivalent.
• Min. 5 years as SET or Test Automation Engineer in complex mechatronic or biotech environments.
• Strong software development skills and clean coding principles.
• Experience with modern test automation frameworks and BDD.

Aufgaben

• Quality Assurance for High-Tech: Automated test strategies for complex diagnostic systems.
• BDD Methodology: Apply Behavior-Driven Development to translate requirements into specs.
• AI-Driven Test Development: Use AI agents/tools to design and maintain scalable test cases across software, hardware, and assays.
• Development of Test Environments: Build/test frameworks with Selenium, Appium, SpecFlow and library support for robots.
• Robotics Integration: Evaluate and integrate robot arms and internal tools to simulate device interactions.
• ALM & Traceability: Use Codebeamer to manage requirements and tests and ensure traceability.
• CI/CD Integration: Automate QA in GitHub and Azure DevOps pipelines.
• End-to-End Verification: Ensure data integrity from barcode to PCR result analysis.
• Compliance & Documentation: Support test plans, protocols and ISO 13485 documentation.

Kenntnisse

Software development

Test automation

Clean coding

AI tooling

Ausbildung

Degree in Computer Science, Electrical Engineering, Medical Technology

Tools

Codebeamer

Selenium

Appium

SpecFlow

Azure DevOps

GitHub

Jobbeschreibung

Join an innovative team shaping the future of diagnostics. As a Software Engineer in Test (SET), you will drive quality at the high-stakes intersection of hardware, software, and biological assays. In this role, you will architect and implement end-to-end automated test strategies for our complex molecular diagnostic platforms, bridging technical requirements with real-world execution. You will integrate automated test frameworks that validate physical interfaces, fortify software security, and ensure seamless synchronization between digital logic, mechanical systems, and fluidic/assay protocols. Leveraging state-of-the-art robotics—ranging from standard market solutions to bespoke in-house developments—you will stress-test complex platforms in a high-demand environment. Operating at the frontier where engineering and chemistry collide, your contributions directly guarantee that clinical laboratories receive fast, precise, and uncompromising diagnostic results.

The Perfect Candidate

possesses a degree in Computer Science, Electrical Engineering, Medical Technology, or a comparable field. They bring at least five years of experience as a Software Engineer in Test or Test Automation Engineer, ideally gained within complex mechatronic, medical device, or biotech environments, and demonstrate strong proficiency in software development and clean coding principles. Expertise in modern test automation frameworks—with knowledge of behavior-driven development—is essential. Additionally, the candidate should have practical experience leveraging AI coding assistants and LLM agents to manage testing assets, while familiarity with Application Lifecycle Management tools like Codebeamer is advantageous. Strong analytical skills to navigate complex diagnostic systems are required, and an ISTQB Certified Tester Foundation Level certification is considered a plus.

General Information

• Start Date: asap
• Planned Duration of Employment: 1 year
• Extension: very likely
• Travel: No
• Working Hours: Standard

Tasks & Responsibilities

• Quality Assurance for High-Tech: Development and implementation of automated test strategies for a complex overall system in molecular diagnostics.
• BDD Methodology: Active application of Behavior-Driven Development to translate requirements into executable specifications.
• AI-Driven Test Development: Leverage state-of-the-art AI agents and automated generation tools to design, write, and maintain scalable test cases across software, hardware, and assay workflows.
• Development of Test Environments: Construction and maintenance of test frameworks using tools similar to Selenium, Appium, or SpecFlow, supplemented by specific libraries for controlling laboratory robots.
• Robotics Integration: Evaluation and integration of commercial robot arms (e.g., Cobots) as well as participation in the development of internal robotics tools to simulate user interactions on the device (e.g., pipetting, loading cartridges).
• ALM & Traceability: Use of ALM tools such as Codebeamer to manage requirements and test cases and to ensure traceability.
• CI/CD Integration: Responsibility for automated quality assurance within our GitHub repositories and Azure DevOps (ADO) pipelines.
• End-to-End Verification: Ensuring data integrity from the barcode scan of the patient sample to the final analysis of the PCR result.
• Compliance & Documentation: Supporting the creation of test plans, protocols, and reports in accordance with ISO 13485 and other relevant regulatory standards for medical devices.

Must Haves

• Education: Degree in Computer Science, Electrical Engineering, Medical Technology, or a comparable qualification.
• Technical Expertise: Min. 5 years experience as a Software Engineer in Test (SET) or Test Automation Engineer, ideally within complex mechatronic, medical device, or biotech systems. You have sound experience in software development and master clean coding principles.
• Automation & BDD Expert: Proficient in using modern test automation frameworks, with desired knowledge of behaviour driven development methodologies.
• AI Tooling Proficiency: Practical experience using AI coding assistants, LLM agents, or AI-native test management tools to automate, refactor, and maintain testing assets.
• ALM Know-how: Experience with Application Lifecycle Management tools, ideally Codebeamer, is a major advantage.
• Analytical Talent: Ability to familiarize yourself with the logic of complex diagnostic systems.

Nice to Haves

Testing Experience: ISTQB Certified Tester Foundation Level certification is a plus