About the role

Aplyr's Quick Take

This role is for a Senior Python Engineer focused on developing and enhancing automation frameworks using AI/ML and Behavior-Driven Development (BDD). You'll be building scalable QA tools, integrating with Azure OpenAI, and mentoring a team of automation engineers. It's a mix of hands-on coding and team leadership.

Good fit

Ideal candidates have 6-10 years of experience in Python development, particularly in automation and BDD frameworks. A collaborative style and a knack for mentoring others will help you thrive here.

Worth noting

The role includes a significant mentoring component, which may appeal to those looking to step into leadership. The integration with Azure OpenAI suggests a forward-thinking approach, but the emphasis on specific technologies may limit flexibility in tech stack choices.

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Description

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 semiconductors, life sciences, and materials research. We are seeking an experienced (6–10 years) to drive the development, enhancement, and adoption of an advanced automation platform with AI/ML-enabled capabilities. This role will technically 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, Develop, and maintain a scalable QA tool/framework for desktop and web applications using Python, PyTest, PowerShell, Node.js, and related technologies.

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

· 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.

Desirable Skills

· Hands-on experience with LangChain, OpenAI SDKs, and/or Azure AI services in production use cases.

· Exposure to Agentic AI concepts and practical usage of GitHub Copilot (GHCP) or similar AI-assisted development tools to enhance automation productivity and code quality.

· Familiarity with modular software architecture, design patterns, and scalable framework design.

· Experience building enterprise-grade automation platforms with strong focus on observability, reporting, and long-run stability.

· Background in scientific, engineering, or regulated environments.

Preferred Qualifications

· BTech degree in Computer Science, Electronics, or a related technical field (or equivalent practical experience).

· Experience operating in regulated or security-focused environments require auditability and traceability.

Skills & Tags

python ai

Aplyr's read

Thermo Fisher Scientific is a powerhouse in biotechnology, attracting professionals passionate about advancing scientific research and innovation across diverse roles and regions.
Synthesized from recent postings & public sources

What's promising

•Thermo Fisher is a leader in the biotech industry, offering stability and growth potential.
•The company invests heavily in R&D, fostering innovation and cutting-edge solutions.
•Global presence provides diverse career opportunities across multiple regions and disciplines.

What to watch

•High pressure and fast-paced environment may not suit everyone.
•Complex organizational structure can lead to communication challenges.
•Frequent acquisitions may result in uncertainty and change for employees.

Why Thermo Fisher

•Thermo Fisher's broad product portfolio spans laboratory equipment to clinical diagnostics.
•The company plays a crucial role in global scientific advancements and healthcare solutions.
•Strong focus on sustainability and corporate responsibility sets it apart in the industry.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Thermo Fisher

Thermo Fisher

thermofisher.com

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Thermo Fisher Scientific is a global leader in serving science, providing a range of products and services to help researchers and scientists in laboratories and clinical settings.