01Responsibilities
- Perform both manual and automated testing across mobile platforms (iPhone and Android) to ensure high-quality application releases and optimal user experience
- Perform hands-on mobile QA testing across manual, automated, and AI-assisted testing workflows
- Write and communicate clear, concise test cases, test scenarios, and detailed defect reports for iOS and Android devices
- Execute, maintain, and enhance automated test scripts while identifying opportunities to improve regression efficiency and automation coverage
- Utilize AI-driven tools and intelligent testing solutions to support test design, defect analysis, and test execution activities
- Contribute to automation script reviews and support continuous improvement of QA processes and testing practices
- Collaborate with Software Engineers, Product Managers, and QA teams during test planning and execution to ensure proper test coverage and quality validation
- Provide testing estimates, communicate test progress, report quality metrics, and participate in project reviews to ensure deliverables meet Product Quality standards
- Support team knowledge sharing and contribute to QA best practices, automation initiatives, and process improvements
- Become a Subject Matter Expert (SME) within the product domain and application workflows
- Translate business and technical requirements into scalable manual and automated test cases/scripts
- Promote quality assurance best practices including automation-first testing, risk-based testing, and shift-left quality approaches
- Perform data analysis, data validation, troubleshooting, and root cause analysis activities
- Report project/test execution metrics, automation coverage, defect trends, and release quality indicators
- Support release readiness activities and contribute to overall product quality and deployment confidence
Qualifications:
- Bachelors degree in Computer Science, Software Engineering, or related field
- 8+ years of experience supporting or testing enterprise-level software product releases
- Solid knowledge of software testing best practices, Agile methodologies, and QA processes
- Experience with mobile automation frameworks such as Appium, Selenium WebDriver, Test Lab, or other industry-leading automation solutions
- Experience with AI-assisted QA tools, intelligent test generation, or AI-enabled testing workflows is a plus
- Experience with functional, regression, integration, API, and performance testing methodologies
- Experience with API testing tools such as Postman, REST Assured, or similar technologies
- Demonstrated ability to work effectively and collaboratively in on-shore and off-shore team environments
- Strong analytical, troubleshooting, data analysis, and problem-solving abilities
- Ability to prioritize and execute tasks in a fast-paced Agile environment
- Strong technical aptitude, organizational skills, and time management capabilities
- Excellent written and verbal communication skills
- Expertise with C#/.NET ecosystem and/or Java/JVM ecosystem
- Experience with relational databases, SQL, and data validation techniques
- Understanding of CI/CD pipelines, automation integration, and cloud-based testing solutions
- Experience integrating automated tests into CI/CD pipelines using tools such as Jenkins, Azure DevOps, or GitHub Actions
- Experience with Jira, Confluence, qTest Manager, Azure DevOps, and QA reporting tools
- Experience with Sauce Labs or other cloud-based device testing platforms
- Familiarity with GitHub Copilot or AI-powered developer/testing tools is a plus
Preferred Qualifications:
- Working knowledge of C#/.NET or Java/JVM ecosystem
- Experience with Azure cloud technologies and Microsoft enterprise platforms
- Experience with ERP solutions or other manufacturing-focused solutions
- Knowledge of ASP (VBScript), ASP.NET (C#), MVC, or modern web application frameworks
- Experience with cloud-based automation and scalable test execution environments
- Experience supporting mobile automation frameworks using Appium, Sauce Labs, or Test Lab
- Exposure to AI-driven QA practices, automation modernization, or intelligent testing solutions
- Understanding of release testing, automation reporting, and risk-based testing methodologies
Rockwell .
