Lead Python Automation Test Engineer with AI
Role Overview
Seeking a Lead Python Automation Test Engineer with AI expertise to design scalable automation, lead quality engineering, and use generative and agentic AI to accelerate testing and delivery.
The role includes technical leadership, framework architecture, and enterprise-wide automation initiatives.
Key Skills for This Role
Full Job Posting
Role overview
Seeking a Lead Python Automation Test Engineer with AI expertise to design scalable automation, lead quality engineering, and use generative and agentic AI to accelerate testing and delivery.
The role includes technical leadership, framework architecture, and enterprise-wide automation initiatives.
Responsibilities
- Design and maintain Python automation frameworks; build solutions using PyTest, Behave, Robot Framework, Selenium, and Playwright.
- Lead framework architecture, parallel execution, and reusable libraries, utilities, and extensions.
- Design REST and SOAP API automation and validate XML and JSON payloads using serialization and deserialization.
- Review code, enforce standards, and integrate test suites with Jenkins and GitHub Actions CI/CD.
- Define test strategies, roadmaps, and quality metrics; mentor colleagues and lead technical discussions.
Requirements
- Requires 9 to 12 years of test automation engineering experience and strong Python expertise.
- Requires expertise in PyTest, Behave, Robot Framework, Selenium, and Playwright; knowledge of OOP and advanced Python concepts.
- Requires REST and SOAP API automation experience, including OAuth, Bearer Token, and NTLM authentication.
- Requires familiarity with Singleton, Factory, and Page Object Model patterns; CI/CD integration experience with Jenkins and GitHub Actions.
- Requires understanding of Test Pyramid, shift-left testing, and quality metrics; hands-on experience with GitHub Copilot, Claude, and Cursor.
- Requires understanding of prompt engineering, context windows, and tokenization; experience using embeddings for semantic search and designing AI-driven test automation.
- Requires a bachelor's or master's degree in Computer Science, IT, Engineering, or a related field.
Preferred skills
- Nice to have: understanding of attention mechanisms and transformer-based model architectures.
- Nice to have: ability to evaluate and optimize model performance and focus.
Benefits and development
- Offers self-development, online learning, knowledge sharing, external certification opportunities, sponsored tech talks and hackathons, and LinkedIn Learning.
- Benefits include health, retirement, paid time off, and flexible benefits.
- Offers individual development and opportunities to share ideas internationally; short- and long-term relocation to an EPAM office may be possible.
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