WSO QA team is responsible for ensuring Quality delivery to technical and business professionals with the S&P Global WSO product suite. This includes participating in product testing, product documentation, and providing feedback to the product teams.
The role would need individual to transform testing into a continuous and efficient end-to-end quality engineering function using quality processes, tools, and methodologies significantly improving control, accuracy and integrity.
The Impact:
The role would need individual to transform testing into a continuous and efficient end-to-end quality engineering function using quality processes, tools, and methodologies significantly improving control, accuracy and integrity.
The ideal candidate should possess excellent grip on programming language and creation & maintenance Automation Frameworks for frontend, backend and API based products, well versed with BFSI domain.
Whats in it for you:
- Use latest technologies to build state of the art solutions and get an opportunity to implement them.
- Work alongside global partners to create solutions that makes impact.
- Embrace a culture of growth, get resources to learn and thrive in your career.
- Responsibilities:
- Test software and content to ensure changes and additions meet business expectations without negatively affecting the existing workflows/reports.
- Develop or assist in creation of test plans and automated tests from the ground up to improve the overall efficiency of the feature area team.
- Assist software engineers and product owners with troubleshooting and improving code reliability and delivery processes to ensure smooth development throughout the project lifecycle.
- Liaise with product test managers and test stakeholders to plan and prioritize tasks in a timely and transparent manner.
- Bring a passion to stay on top of current trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community.
- Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking, teamwork, and self-organization.
- Leverage agentic AI and GitHub Copilot features to optimize productivity and cost-effectiveness, with an emphasis on managing premium request counts.
- Use acceptance testing tools such as Reqnroll in conjunction with AI to generate comprehensive scenario coverage and address gaps.
- Incorporate continuous testing practices to maintain quality at every stage of development.
- Implement performance testing using AI-based tools to simulate user behavior and assess application performance.
- Develop and apply defect prediction models leveraging AI and historical data to proactively identify potential defects.
- Conduct data-driven testing utilizing large datasets and AI to enhance validation of application functionality.
- Employ AI-based visual testing tools to ensure UI consistency across devices and browsers.
- Automate regression testing using AI to ensure new changes do not impact existing functionality.
- Prioritize and perform risk-based testing by leveraging AI to identify and focus on high-risk areas of the application.
- Apply natural language processing (NLP) techniques to analyze requirements and automatically generate test cases from user stories or specifications.
- Utilize AI-driven reporting and analytics to generate actionable insights from testing data, thereby enhancing decision-making processes.
- Explore and implement other innovative AI use cases for understanding, developing, and testing key areas of work.
- What Were Looking For:
- Education level Engineering Graduate.
- Year of Experience 10 to 13 years.
- Experience with Azure DevOps and working with Agile teams.
- Hands-on exposure in Syndicated Loan domain, BFSI Domain.
- Technologies: C# .NET, .NET Core, JavaScript, PowerShell, Python, REST, GIT.
- Automation: Webdriver.io, SpecFlow/ReqnRoll.
- Tools: JMeter, API Playground, Azure DevOps, Visual Studio, Axios, Microsoft SQL Server.
- Solid knowledge of API testing (Rest APIs) and proven experience in API automation using tools such as Axios and similar frameworks.
- Preferred skills: Fair understanding of AWS services like S3 Buckets, EC2, Lambda, Cloud Formation, AMIs etc.
- Key Soft Skills: Self-motivated, team player, strong written & verbal communication.
- Experience with Power BI and usage of ADO pipelines.
- Expertise with agentic AI, including practical knowledge of how to leverage GitHub Copilot and other AI-based tools in a cost-effective manner.
- Familiarity with AI-powered testing approaches such as acceptance, performance, data-driven, regression, risk-based, and visual testing, as well as experience with continuous testing practices.
- Demonstrated ability to develop and utilize AI-driven defect prediction models and apply NLP techniques for test case generation.
- Proficiency in using AI-driven analytics for actionable reporting and continuous improvement.
- Demonstrated ability to leverage AI not just in automation, but also as an aid in understanding, developing, and testing complex software systems and areas of work.
