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Software Quality Assurance Engineer 2 - SaaS Solutions - Quality Assurance - Cloud Products - Agile Software Development - AWS Ecosystem - API Testing - C# Development

Verisk

Salary not specified
Sep 20, 2025
Boston, MA, USA
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Verisk EES (Extreme Event Solutions) is looking to solve the problem of informing the insurance industry about Catastrophic Events such as Hurricanes, Earthquakes, and Flooding through stochastic models and Monte Carlo simulations.

Requirements

  • 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.
  • Experience with development or testing cloud native products, web development, web testing and / or cloud testing environments (Serverless SaaS stack).
  • Strong prior experience with AWS Eco system and technology stack is preferable.
  • Docker experience is a plus.
  • QA testing experience using API (Postman), E2E (Cypress) is desirable.

Responsibilities

  • Collaborate with stakeholders to understand and analyze requirements, ensuring clarity and completeness for testing purposes.
  • 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 that cover all aspects of the product, including functional, non-functional, and regression testing.
  • Partner with the C developers, identify the test areas to ensure the full product coverage.
  • 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.
  • Author API based requests to execute scrum team integration tests to determine the pass / fail of the response.
  • Use quantitative data analytics mindset to deliver on day-to-day tasks, understanding complex multi-model scenarios, ensuring tests are robust, while participating in cross-functional Agile Scrum teams.

Other

  • 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.
  • Strong analytical focus and attention to detail along with a methodical approach to problem solving is strong foundation for success in this position.
  • Position requires a strong commitment towards quality assurance that leverages the best practices already in place and help to enhance them.
  • Strong aptitude for quantitative problem solving or advanced analytics.