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Software Quality Assurance Engineer III
hace 2 meses
About the Role
We are seeking a highly skilled Quality Assurance Engineer to join our team at AIR Worldwide Corp. as a Quality Assurance and Data Validation Analyst. This role is focused on our SaaS Solutions, working for Quality Assurance on the implementation of our cloud products.
Key Responsibilities
- Collaborate with stakeholders to understand and analyze requirements, ensuring clarity and completeness for testing purposes.
- Use a quantitative data analytics mindset to deliver on day-to-day tasks, understanding complex multi-model scenarios and ensuring tests are robust while participating in cross-functional Agile Scrum teams.
- Author detailed and structured test plans based on software requirements, ensuring all aspects of the product are thoroughly tested.
- Develop and document test cases and test scripts covering all aspects of the product, including functional, non-functional, and regression testing.
- Partner with C# developers to identify test areas and ensure full product coverage.
- Code in C# to develop unit and integration tests optimized to run in an AWS environment, using a minimal footprint while being organized and properly documenting test cases.
- Author API-based requests to execute scrum team integration tests to determine the pass/fail of the response, implemented in our in-house automation framework.
- Strong analytical focus and attention to detail along with a methodical approach to problem solving is essential for success in this position.
- The position requires a strong commitment towards quality assurance that leverages and enhances best practices.
Requirements
- Undergraduate/graduate degree in a STEM-related area, including data science, engineering, science, and/or mathematics & finance.
- Minimum 2 - 4 years of Quality Assurance experience working in an Agile software development team.
- Experience in testing microservices-based and highly distributed systems.
- Experience in writing and executing performance tests.
- Demonstrated experience in an object-oriented programming language such as C++, C#, or Java. Python, as well as data analysis and statistical modeling tools like R or MATLAB, is a plus.
- Experience with the development or testing of cloud-native products, web development, web testing, and/or cloud-testing environments (Serverless SaaS stack). Strong prior experience with AWS Ecosystem and technology stack is preferable. Docker experience is a plus.
- Aptitude for quantitative problem-solving or advanced analytics. QA testing experience using API (Postman), E2E (Cypress) is ideal.
- Strong aptitude for relational databases and a good working knowledge of on-premises or cloud-based advanced database systems.
What We Offer
Verisk Analytics is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age, or disability.
