Software Quality Assurance Engineer III

At Verisk EES (Extreme Event Solutions), we do some cool advanced analytic stuff! We build stochastic models to simulate Catastrophic Events that will inform the insurance industry. Events include Hurricanes, Earthquakes, and Flooding, just to name a few. We then run Monte Carlo simulations to provide hundreds of thousands of years of simulated events. These help the insurance industry make objective and data-driven decisions based on their risk tolerances. As a company, we have a strong sense of purpose and know we are helping resilient communities worldwide.

Job Description

This role is focused on our SaaS Solutions, working for Quality Assurance on the implementation of our cloud products.

• You will collaborate with stakeholders to understand and analyze requirements, ensuring clarity and completeness for testing purposes.
• You will author detailed and structured test plans based on software requirements, ensuring all aspects of the product are thoroughly tested.
• You will develop and document test cases and test scripts that cover all aspects of the product, including functional, non-functional, and regression testing.
• You will partner with the C# developers, and identify the test areas to ensure the full product coverage.
• You will code in C# to develop unit & integration tests that you have optimized to run in an AWS environment, using a minimal footprint, while being organized and properly documenting your test cases.
• You will author API-based requests to execute scrum team integration tests to determine the pass/fail of the response. This will be implemented in our in-house automation framework.
• You will use your quantitative data analytics mindset to deliver on your day-to-day tasks, as you need to understand complex multi-model scenarios, and ensure your tests are robust, while you participate in cross-functional Agile Scrum teams.
• Strong analytical focus and attention to detail along with a methodical approach to problem solving is strong foundation for success in this position.
• The position requires a strong commitment towards quality assurance that leverages the best practices already in place and helps to enhance them.

Requirements

• Candidates must have an 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.
• Candidates must have experience in testing microservices-based and highly distributed systems.
• Candidates must have experience in writing and executing performance tests.
• Candidates must have 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.
• Candidates must have 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.
• Candidates must have an aptitude for quantitative problem-solving or advanced analytics. Candidates will ideally have QA testing experience using, API (Postman), E2E (Cypress).
• Successful candidates must demonstrate a strong aptitude for relational databases and a good working knowledge of on-premises or cloud-based advanced database systems.

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