Quality Assurance Analyst
Summary
The Quality Assurance Analyst will design and maintain automated testing frameworks for cloud-based applications, utilizing Generative AI tools to optimize test creation and execution. The role involves collaborating with cross-functional teams to ensure software quality through manual and automated testing within an Agile environment.
We are seeking an innovative and highly motivated "Quality Assurance Analyst – AI Test Automation" to help transform software quality for CloudSuite Distribution (SX.e) through the adoption of AI-powered testing practices and intelligent automation. This role is responsible for designing, implementing, and maintaining automated testing solutions while leveraging Generative AI and emerging AI tools to accelerate test design, test creation, execution, and analysis. The ideal candidate combines strong quality engineering fundamentals with a passion for AI technologies, automation frameworks, and continuous improvement. This individual will partner closely with Development, DevOps, and QA teams to ensure high-quality software delivery while advancing AI enabled testing capabilities across the organization.
- Develop, document, and execute detailed test plans, test cases, and test scripts based on product requirements and user stories.
- Perform manual and automated testing across web-based and cloud-native applications.
- Identify, log, and track defects using tools such as JIRA, collaborating with development to ensure timely resolution.
- Work in Agile/Scrum teams to ensure continuous testing, integration, and delivery pipelines.
- Collaborate cross-functionally to understand application use cases, industry-specific workflows, and regulatory compliance requirements.
- Participate in user story reviews and contribute to requirements clarification and risk assessment.
- Monitor application performance, usability, and stability throughout the development lifecycle.
- Contribute to the enhancement of QA best practices, frameworks, and continuous improvement initiatives
- Design, develop, and maintain scalable automated test frameworks for UI, API, integration, and regression testing.
- Leverage AI tools to generate and optimize test cases, test data, automation scripts, and testing workflows.
- Evaluate emerging AI testing technologies and recommend solutions that improve quality, coverage, and efficiency.
- Implement intelligent test selection and risk-based testing strategies to reduce execution time and increase effectiveness.
- Experience in software quality assurance, preferably in enterprise software or cloud environments.
- Experience with test automation tools such as Playwright, Selenium, Cypress, or TestComplete.
- Experience using Generative AI tools to support testing, automation development, or software delivery.
- Experience testing AI-enabled applications, copilots, conversational agents, or LLM-based solutions.
- Familiarity with SQL, APIs, and data validation.
- Familiarity with Agile methodologies and tools like JIRA, Confluence, and Jenkins.
- Familiarity with defect tracking and test management tools such as Jira and Zephyr.
- Knowledge of software development life cycles, testing methodologies, and quality engineering best practices