• Own functional, regression, integration, system, and end-to-end testing for complex applications and backend workflows. 
• Analyze business and technical requirements, identify test scenarios, assess test coverage, and highlight requirements or design gaps early in the delivery lifecycle. 
• Create and maintain high-quality test documentation including test plans, detailed test scenarios, test cases, traceability matrices, test evidence, execution reports, and release-quality summaries. 
• Perform database and backend validation using SQL to verify data integrity, transformations, transactional accuracy, and downstream processing results. 
• Validate APIs and service integrations using tools such as Postman and support automation of repeatable API and backend regression scenarios. 
• Develop, maintain, and execute automated tests using appropriate UI, API, or backend automation frameworks; contribute to improving regression efficiency and coverage. 
• Perform defect analysis and triage, provide clear reproduction details and supporting evidence, and collaborate with engineering teams through resolution and retesting. 
• Validate file-based workflows, scheduled jobs, and inter-system data exchanges, including reconciliation of source and target results. 
• Estimate testing effort, plan test execution, identify delivery risks, and communicate testing status and quality concerns to project and QA leads. 
• Mentor less experienced QA engineers on functional testing practices, test design, documentation quality, defect reporting, and effective validation techniques. 
• Contribute to QA process improvements, reusable test assets, automation candidates, and continuous improvement initiatives across the team. 

What do I need to succeed?  

Must Have: 

• 8+ years of software QA experience, with strong hands-on functional/manual testing expertise and meaningful experience with test automation. 
• Hands-on experience testing batch processing systems, including scheduled jobs, batch files, job dependencies, restart/recovery scenarios, and batch reconciliation. 
• Experience with event-driven and data-intensive systems, including exposure to Kafka message flows, topics and payload validation, as well as ETL testing, data pipelines, source-to-target validation, transformation rules, and data reconciliation. 
• Strong automation experience using tools and frameworks such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent technologies. 
• Experience with modern delivery environments, including CI/CD pipelines, Git, Jenkins, GitLab CI, Azure DevOps, and exposure to cloud-native or microservices architectures, Azure, and Kubernetes. 
• Exposure to AI-assisted QA, including GenAI testing tools, AI-based test design or automation, or practical use of AI to improve testing efficiency and coverage. 
• Banking or financial services experience, with a solid understanding of the complexities and quality requirements of enterprise applications. 
• Bachelor's degree in computer science, Information Technology, Engineering, or related discipline. 
• Proven ability to independently own testing for complex releases or functional areas, identify gaps and risks, and ensure quality throughout the delivery lifecycle. 
• Strong analytical, problem-solving, and troubleshooting skills, with exceptional attention to detail and the ability to challenge assumptions constructively. 
• Excellent written and verbal communication skills, with the ability to clearly document test results, communicate defects, and articulate quality risks. 
• Ability to work independently, manage competing priorities, and deliver effectively in a fast-paced Agile environment, with a strong collaborative mindset and sense of ownership for product quality. 

Nice to Have: 

• Hands-on experience testing batch processing systems, scheduled jobs, batch files, job dependencies, restart/recovery scenarios, and batch reconciliation. 
• Exposure to Kafka, including validation of producer/consumer message flows, topics, payloads, and event-driven integrations. 
• Exposure to ETL testing, data pipelines, source-to-target validation, transformation rules, and data reconciliation. 
• Experience with automation technologies such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent frameworks. 
• Experience with CI/CD pipelines, Git, Jenkins, GitLab CI, Azure DevOps, or similar delivery tooling. 
• Exposure to cloud-native or microservices-based environments, including Azure and Kubernetes. 
• Exposure to AI-assisted software testing, GenAI testing tools, AI-based test design or automation, or practical use of AI to improve QA productivity and coverage. 
• Banking or financial-services domain experience. 
• Additional Job Details