Job Description

Engagement Objective
The QA Engineer will drive end-to-end quality assurance for SAP and related systems by implementing standardized QA processes, reusable automation, performance testing, and DR validation. The resource will ensure early risk identification ("shift-left" testing), consistent documentation, and transparent reporting using enterprise QA tools and templates.
Key Deliverables

• Standardized QA Practices: Apply approved QA processes, tools, and templates across all SAP applications, ensuring consistent test planning, execution, and sign-off workflows.

• Comprehensive Test Coverage: Deliver full QA/QE coverage--manual, automation, and performance--across SAP application layers.

• Reusable Automation Framework: Develop scalable, reusable automation scripts focused on critical and complex SAP functionality to support regression and CI/CD integration.

• Shift-Left Quality Enablement: Integrate QA early in planning and change management cycles to identify defects, dependencies, and risks before deployment.

• Jira-Based QA Management: Leverage Jira for all QA activities, including test case design, defect tracking, API validation, task management, and workflow automation. Maintain full traceability from requirements through release.

• Performance & Load Testing: Conduct effective load and performance testing using JMeter or equivalent tools, providing metrics on capacity, response times, and system scalability.

• Disaster Recovery (DR) Testing: Execute timely DR testing cycles with detailed test plans, scripts, execution results, and documented remediation actions.

• Reporting & Governance: Provide regular QA status reports outlining progress, risk assessments, and mitigation plans. Maintain dashboards and metrics for automation coverage, defect leakage, and performance outcomes in SharePoint and Power BI.

Required Skills & Tool Expertise

• Automation: Selenium, Silk Test, Postman (API)

• Performance Testing: JMeter, BlazeMeter

• CI/CD Integration: GitHub Actions, Jenkins, GitLab

• QA Management & Documentation: Jira, SharePoint, Confluence

• AI-Enabled QA: Use AI tools within Jira for intelligent test creation and optimization

• Database & Data Validation: Proficiency in SQL and test data management Success Metrics & KPIs

Skills Required