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Amazon
Worldwide Grocery Stores, Graise Hawkeye team is seeking a Quality Assurance Engineer. The Graise Hawkeye team is responsible for ensuring the Point of Sale (POS), SCO system is robust, reliable, and production ready. The team focuses on functional, integration, and non-functional testing (NFT), including performance and resilience assessments, to validate the system's quality. Comprising skilled Quality Assurance (QA) professionals and Software Development Engineer-Test (SDETs), the team works collaboratively to anticipate and address complex engineering and business challenges. Their responsibilities include test planning, automation, bug tracking, regression testing, and collaborating with cross-functional teams to ensure seamless delivery. By maintaining high testing standards and continuously improving processes, the team plays a vital role in delivering a performant and resilient POS system to meet business and customer needs.
Key job responsibilities
- Assist in the development and automation of functional, integration, and performance tests for an enterprise-class, multi-concept, 3-tier POS system.
- Contribute to maintaining and supporting test frameworks that help both QA and Dev teams in their testing efforts, ensuring smooth integration across various environments.
- Collaborate with team members on test automation strategies to improve functional, integration, and performance test coverage.
- Help automate the collection, analysis, and reporting of test results, ensuring transparency and providing useful insights to stakeholders.
- Use research and analytical skills to validate test results and help optimize testing processes for better performance and broader coverage.
- Assist in designing and implementing test scenarios and cases to replicate real-world conditions, ensuring comprehensive testing across QA and performance testing environments.
- Work with engineering and application teams to identify and resolve issues, fostering collaboration between QA and development teams to help improve overall product quality.
- Open to leveraging AI to enhance daily tasks, job efficiency, and test delivery. Embrace an AI-first approach to optimize workflows and drive faster, more accurate results.
A day in the life
The Graise Hawkeye Team engages in a variety of activities daily to ensure the quality, performance, and resilience of the Point of Sale (POS) system. The team focus on creating detailed test plans, developing both manual and automated test cases, and performing comprehensive functional, integration, and non-functional testing, including performance and scalability assessments. Collaboration with cross-functional teams is a cornerstone of their work, enabling them to troubleshoot issues effectively and ensure alignment on deliverables. They also manage test environments, track and resolve defects, and conduct regression testing to maintain the integrity of existing features. By analyzing test results, providing insights, and continuously improving processes, the team ensures the POS system is production-ready and aligned with business goals.
About the team
The Graise Hawkeye Team is dedicated to ensuring the reliability, performance, and readiness of the Point of Sale (POS) system. Our mission is to validate that every component of the POS system meets the highest standards of functionality, resilience, and production readiness.
At the core of our team’s approach is an AI-first narrative, where we leverage AI-driven tools and automation to enhance testing efficiency and accuracy. We utilize advanced AI models to optimize functional and integration testing, as well as non-functional testing (NFT), enabling us to proactively identify and address complex engineering and business challenges before they affect end users.
Our team is made up of skilled Quality Assurance (QA) professionals and Software Development Engineers in Test (SDETs) who work together to simulate real-world scenarios, develop AI-powered automated test frameworks, and ensure seamless functionality across the POS ecosystem. By integrating AI into our testing processes, we not only speed up test execution but also improve test coverage and the detection of subtle issues that may have otherwise gone unnoticed.
With a commitment to leveraging AI-driven insights and advanced testing methodologies, we serve as a critical partner in delivering robust, efficient, and high-quality POS solutions that meet the ever-evolving needs of the business and its users.- 2+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience in UI and API automation testing (Selenium/SOAPUI)
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