Principal Engineer (Python, Playwright, JavaScript, AI)

Job Requisition ID #

25WD94110

Position Overview

Autodesk is seeking a highly motivated, experienced Principal Engineer to join high-impact teams building the next generation of AI-powered Test Automation solutions for Cloud and Desktop application.

We are looking for a strong technical contributor with expertise in automation, cloud services, and AI agent development. As an ideal candidate, you have built scalable applications and test automation frameworks in fast-paced, agile environments. You are comfortable working across cloud, desktop, and web technologies, and bring hands-on experience integrating AI-driven solutions into modern workflows. This is an exciting opportunity to contribute to the evolution of engineering excellence in a lean/agile environment and help deliver high-quality, innovative solutions.

Responsibilities

• Contribute to software design and architecture across desktop and cloud platforms
• Develop and maintain end-to-end and integration Agentic test automation using Playwright, Cypress, Python, and JavaScript
• Integrate AI agents and LLMs into development and QA workflows (RAG, MCP, FastAPI)
• Leverage AWS services to design scalable environments
• Embed automated tests into CI/CD pipelines using Jenkins
• Collaborate with stakeholders to define priorities, roadmaps, and delivery plans
• Ensure engineering efficiency by identifying opportunities and driving improvements
• Work in Agile teams, using JIRA and XRAY for tracking and reporting

• BS degree in Computer Science, Software Engineering, or related field
• 9-14 years of professional experience in software development
• Strong programming skills in Python, JavaScript, TypeScript
• Hands-on experience with Playwright, Cypress, Pytest
• Experience with AWS cloud services for scalable environments.
• Knowledge of CI/CD pipelines, Jenkins, Git
• Familiarity with Agile methodologies and defect tracking tools
• Strong communication and collaboration skills

• Experience building and deploying AI agents using LangGraph or similar frameworks
• Hands-on with LLM integration, prompt engineering, and RAG patterns
• Ability to design AI-driven test automation systems for UI/API testing
• Strong Python programming with async/await patterns and scalable API design
• Knowledge of MCP or similar agent communication protocols