Engineer III, Software Test

When you join us at Thermo Fisher Scientific, you’ll become a member of a hard-working, motivated team that aligns with your enthusiasm for exploration and discovery.

With revenues exceeding $40 billion and the largest investment in R&D in the industry, we provide our people with resources and opportunities to make significant contributions to the world.

How will you make an impact

Work on backend platform software that powers advanced scientific instruments used in semiconductor s , life sciences, and materials research .

We are seeking an experienced Automation Lead (6–10 years) to drive the development, enhancement, and adoption of an advanced automation platform with AI/ML-enabled capabilities.

This role will technically lead a team of Python automation engineers, architect robust automation solutions using Behavior-Driven Development (BDD) frameworks and integrate LLM services (Azure OpenAI preferred) to accelerate test authoring, classification, and execution.

What will you do

• Design, D evelop, and maintain a scalable QA tool/framework for desktop and web applications using Python, PyTest, PowerShell and related technologies.

• Architect and maintain BDD-based automation frameworks, including reusable step libraries and mapping of BDD steps to UI objects/actions.

• Lead development of Python modules for BDD step classification, data extraction, and AI-driven prompt pipelines.

• Architect and manage data pipelines for processing, classifying, and mapping BDD steps to automation objects, including structured data handling (CSV/JSON).

• Oversee integration with Azure OpenAI and other LLM services, leveraging orchestration libraries such as LangChain (or similar).

• Drive configuration management, file handling, and execution consistency across developer machines and CI agents.

• Collaborate with QA, DevOps, and Product/Engineering teams to integrate automation into CI/CD pipelines (e.g., Jenkins) and release workflows.

• Mentor and manage a team of automation engineers—setting best practices, enforcing code quality, and ensuring consistent delivery.

• Own and improve the platform’s deployment and onboarding (“start-to-use”) experience, including validation checks, troubleshooting guidance, and user enablement documentation.

• Drive continuous improvement in automation strategy, framework reliability, reporting, and scalability.