Senior Quality Assurance Engineer

Infinova is a key player in intelligent business transformation, dedicated to aiding organizations in scaling smarter and achieving sustainable success. The foundation combines strategic consultancy, financial expertise, and technology-driven solutions to deliver measurable growth and operational efficiency. Services include AI-powered business consultancy, talent solutions, and advanced technology development, enabling businesses to convert data into actionable intelligence, optimize performance, and embrace innovation. With a commitment to transparency, quality, and future-ready strategies, Infinova ensures every partnership delivers lasting impact. As a Senior QA Engineer at Infinova, you will play a crucial role in leading test planning, execution, and quality delivery across AI-driven enterprise applications and cloud-based platforms. Your responsibilities will include: - Leading QA strategy, planning, and execution for complex AI platform features and enterprise application modules. - Analysing epics, user stories, and solution designs to define test scope, scenarios, and coverage for GenAI/LLM-enabled workflows. - Collaborating with various stakeholders to ensure requirement clarity and comprehensive QA validation. - Designing and maintaining test plans, test cases, and test data for AI features, cloud workflows, Salesforce modules, and platform integrations. - Performing functional, regression, integration, and API testing across interconnected systems and cloud environments. - Logging, tracking, and validating defects using Azure DevOps (ADO) or similar platforms; participating in defect triage and prioritization. - Ensuring testing readiness of test environments, configurations, and AI-enabled service deployments. - Supporting UAT processes and providing QA sign-off for feature releases and production deployments. - Promoting QA best practices, engineering excellence, and continuous improvement across Agile teams. - Reporting test progress, risks, and quality metrics to stakeholders and leadership. Qualifications and Experience: - 6+ years of QA experience, preferably within enterprise and AI-based application environments. - Hands-on experience testing AI/ML or cloud platform integrations, including APIs, workflows, and business processes. - Strong knowledge of the Salesforce platform and its testing methodologies; prior Salesforce QA experience highly desirable. - Experience with integration testing for cloud platforms and APIs (REST, middleware). - Proficiency in QA and project tools such as Azure, AWS, Jira, or similar. - Strong understanding of QA methodologies, Agile/Scrum practices, and defect lifecycle management. - Excellent communication and stakeholder engagement skills. - Experience with automation tooling (e.g., Test Studio, Selenium, or similar) is an advantage.,