Software Quality Engineer - Adobe

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Job Summary:
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 of the product area (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 test automation frameworks, performance testing strategies, and comprehensive QA processes across complex environments.

Key Responsibilities:

Technical Leadership:

• Lead high-performing Quality Engineering (QE) teams with clearly defined, measurable goals to deliver quality-driven releases.
• Mentor and guide team members, fostering their professional development and excellence in testing and automation.
• Collaborate with cross-functional teams, including Product Management, Development, and DevOps, to establish and achieve quality objectives.
• Quality Strategy and Implementation:
• Oversee QE delivery across all SDLC phases, including requirements analysis, test planning (functional and non-functional aspects like accessibility, security, scalability, performance, and resilience), estimation, execution, automation, production release, and root cause analysis (RCA) for production issues.
• Define and track quality metrics such as defect rates, test coverage, and automation stability.
• Promote best practices in quality assurance tailored to Agile and DevOps environments.

Automation and Tooling:

• Design and enhance scalable test automation frameworks for web, mobile, API, and cloud-based platforms.
• Drive innovation in automation testing by identifying gaps and developing in-house tools or optimizing existing frameworks.
• Seamlessly integrate automation scripts into CI/CD pipelines to enable continuous testing.
• Performance and Security Testing:
• Lead performance testing efforts, including load, stress, and scalability testing, ensuring systems are robust and reliable.
• Collaborate with teams to implement automated security testing practices.
• Develop and execute performance testing strategies for APIs, web, and mobile applications using industry-standard or custom tools.

Test Planning and Execution:

• Create comprehensive test plans, test cases, and scenarios based on business requirements and technical specifications.
• Ensure complete test coverage, including edge cases, user-centric workflows, and negative paths.
• Lead functional, regression, exploratory, and integration testing across multi-tier, cloud-based solutions.

Stakeholder Engagement and Communication:

• Engage with customers, support teams, development teams, and product managers to understand user stories and deliver customer-centric solutions.
• Regularly communicate quality updates, risks, and recommendations to stakeholders.
• Contribute thought leadership through presentations and knowledge-sharing initiatives.​

Required Qualifications:

Technical Skills:

• Strong programming skills in languages such as Java, Python, or JavaScript.
• Proficiency in code coverage tools and analysis for multi-tier cloud-hosted solutions.
• Hands-on experience with automation tools like Selenium, Appium, TestNG, or any other web UI automation tools.
• Expertise in API testing using tools such as Postman, RestAssured, or equivalent.
• Experience with performance testing tools like SOASTA or JMeter.
• Proficiency in CI/CD tools like Jenkins or GitLab CI.
• In-depth understanding of cloud-based testing environments, including AWS, Azure, or Google Cloud.

QE Domain Expertise:
Proficiency in Agile and DevOps practices.

• Strong knowledge of testing methodologies (e.g., BDD, TDD) and defect management processes.
• Experience testing web applications, cloud solutions, and multi-tier complex architectures.
• Expertise in database testing and proficiency in SQL for data validation and test automation.
• Experience in testing scalable big data solutions involving complex querying and reporting.
• Familiarity with GenAI/Deep Learning implementations and their testing requirements.

Soft Skills:

• Exceptional problem-solving skills and attention to detail.
• Strong communication and interpersonal abilities.
• Capacity to manage multiple priorities in a dynamic, fast-paced environment.Preferred Qualifications:
• Bachelor’s degree in Computer Science or a related field.
• QA certifications (e.g., ISTQB, Certified Agile Tester) or certifications in specialized quality engineering areas such as automation, performance, and security.
• Domain knowledge in e-Learning or Learning Management Systems (LMS) is a plus.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

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Last updated: 22 hours ago