Analyse, design, and develop IT solutions which includes a range of activities from designing, debugging, coding, unit/automated testing and documenting, building and launching new features.
Address problems of system integration, compatibility and multiple platforms.
Troubleshoot production problem related to software application.
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Prepare and maintain the Requirement Traceability Matrix (RTM) and ensuring requirements are linked to the relevant functions, test scenarios, test cases, execution results and defects.
Prepare and update the Test Scenario Preparation (TSP) by deriving positive, negative, role-based, integration and end-to-end scenarios.
Develop and maintain detailed test cases, test scripts, test data, expected results and execution evidence.
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Translate application storyboards and use cases into functional applications.
Design, build, and maintain efficient, reusable, and reliable Java code.
Work with other members of a planning team to develop a prototype plan for an enterprise system that including what key features system users require in the system as well as integration strategies to update existing systems that will transition into the new system build down the road.
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Translate application storyboards and use cases into functional applications.
Design, build, and maintain efficient, reusable, and reliable Java code.
Work with other members of a planning team to develop a prototype plan for an enterprise system that including what key features system users require in the system as well as integration strategies to update existing systems that will transition into the new system build down the road.
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End-to-End Development: Lead the design and implementation of robust, scalable software applications with Flutter/React and complementary technologies.
AI-Enhanced Features: Integrate AI-driven components—such as smart search, chatbots, product recommendations, and predictive UI elements—into modern retail solutions.
System Integration: Work closely with AI, backend, and DevOps teams to connect applications with APIs, cloud services (especially Azure), and analytics pipelines.
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AI-Powered Testing Support: Leverage AI-powered testing tools (e.g., test case generation, visual regression detection, anomaly detection) to increase test coverage and reduce manual effort.
QA for AI Modules: Collaborate with AI/data teams to validate AI outputs (e.g., recommendation engines, predictive analytics, LLM features) by designing test cases for accuracy, bias detection, edge cases, and failure modes.
BI Dashboard Validation: Verify data accuracy and consistency in Power BI dashboards by comparing against source data, backend queries, and expected business logic.
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AI-Powered Testing Support: Leverage AI-powered testing tools (e.g., test case generation, visual regression detection, anomaly detection) to increase test coverage and reduce manual effort.
QA for AI Modules: Collaborate with AI/data teams to validate AI outputs (e.g., recommendation engines, predictive analytics, LLM features) by designing test cases for accuracy, bias detection, edge cases, and failure modes.
BI Dashboard Validation: Verify data accuracy and consistency in Power BI dashboards by comparing against source data, backend queries, and expected business logic.
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