Sr Lead Software Engineer

Adobe Learning Manager team is looking for an exceptional, highly motivated Senior Lead Software Quality Engineer who can thrive in a fast-paced, customer-focused team with a grit for quality excellence. The candidate will own the QE delivery primarily on performance testing & secondary on features/automation (Web, Automation, Security, APIs & AI based features) and lead it completely starting from conception to production support.

The ideal candidate will possess strong technical expertise, leadership skills, and a proven ability to develop and manage performance testing strategies, and comprehensive QA processes across complex environments.

Key Responsibilities:

Performance Test Strategy:

• Define and implement comprehensive performance testing strategies.
• Collaborate with stakeholders to determine performance benchmarks and SLAs.

Test Planning and Execution:

• Design, execute, and maintain performance test cases for applications and APIs.
• Identify performance bottlenecks, analyze root causes, and recommend improvements.

Tool Management:

• Utilize tools like Soasta or similar for test automation.
• Develop custom scripts or extend tools for specific testing scenarios.

Data Analysis and Reporting:

• Monitor application performance during load, stress, endurance, and scalability tests.
• Generate detailed performance test reports and dashboards.

Cross-Team Collaboration:

• Work with development, DevOps, and product teams to optimize system performance.
• Ensure performance tests are integrated into CI/CD pipelines.

Continuous Improvement:

• Stay updated with the latest trends and tools in performance engineering.
• Mentor junior engineers and contribute to team skill enhancement.

Key Skills:

Technical Expertise:

• Proficiency in performance testing tools (e.g., SOASTA).
• Strong knowledge of system architectures, databases, and networking.

Scripting & Automation:

• Experience with scripting languages like Java, Javascript or Python.
• Ability to automate performance tests within CI/CD workflows.

Analytical Skills:

• Deep understanding of performance metrics (response time, throughput, CPU/memory usage).
• Strong debugging and problem-solving abilities.

Leadership & Communication:

• Proven experience in leading teams and projects.
• Effective communication skills for presenting findings to technical and non-technical stakeholders.

Domain Knowledge:

• Familiarity with cloud platforms (AWS).
• Understanding of API testing, microservices, and containerized applications.

Desirable Skills:

• Exposure to security, platform & AI/ML model testing
• Exposure to the world of eLearning including LMS & content standards.