Lead Software Quality Engineer

Our Company

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The Adobe Learning Manager (ALM) team is hiring a Senior Lead Quality Engineer (Automation SDET) to elevate our quality engineering practice. In this role, you'll design and drive automation strategies that ensure reliability, scalability, and seamless learning experiences. You'll work closely with product, development, and quality teams to deliver automation-first solutions that enable faster, more stable, and customer-focused releases.

A key focus of this role will be to scale and enhance our automation framework —making it simpler to author tests, faster to execute, and more effective in covering the large backlog of features with low automation coverage. This is a high-impact role that directly accelerates automation maturity across ALM.

Key Responsibilities:

• Build, extend, and scale automation frameworks for Web, API, and end-to-end workflows across ALM features.
• Simplify test authoring and boost reusability to speed up coverage of backlog features.
• Apply AI/GenAI tools (e.g., Cursor, Copilot) to accelerate automation and deliver rapid results.
• Build and maintain robust automated test suites validating end-to-end LMS workflows , including content delivery and player interactions.
• Partner with engineers and product managers to define automation-first test strategies for new features.
• Lead test case refactoring to improve consistency, maintainability, and coverage.
• Improve test execution within CI/CD pipelines (Jenkins, containers, cloud) for enhanced speed and scalability.
• Debug automation issues, analyze root causes, and strengthen reliability across browsers, OS, and environments.
• Guide teammates, share best practices, and promote a quality-first culture .
• Share thought leadership through presentations and contributions to technical forums.

Desired Skills:

• 8+ years of experience in automation testing with strong programming skills in Java or JavaScript .
• Hands-on expertise in automation frameworks such as Selenium, Playwright, or similar.
• Experience scaling frameworks for faster test execution at scale , ideally in a cloud environment (AWS) .
• Solid understanding of CI/CD pipelines, parallel execution, and container-based configurations .
• Experience with AI/GenAI-driven automation tools (Cursor, Copilot, etc.) and a passion for using them to achieve quick wins.
• Familiarity with multi-tenant SaaS testing, E-learning, or LMS integrations is a plus.
• Strong problem-solving, debugging, and communication skills, with the ability to influence cross-functional teams.

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