Senior Quality Engineer specializing in building automated testing frameworks at Fanatics Commerce. Collaborating with Software Engineers to streamline integration processes for enhancing customer satisfaction.
Responsibilities
Develop quality focused test strategies that help the team deliver software that provides maximum quality without sacrificing business value. Test early and often.
Work with multiple teams of engineers and product managers to gather requirements and data sources to design and build test plans including data quality validations.
Participate in projects developed with agile methodology.
Design and document test cases and test data to ensure proper coverage.
Perform exploratory/manual tests as needed.
Collaborate with software engineers to triage issues and work to ensure the validity, timeliness, consistency, completeness and accuracy of our data across all data platform components.
Write, execute, and monitor automated test suites for integration and regression testing.
Integrate tests as part of continuous delivery pipelines.
Define quality metrics and build quality monitoring solutions and dashboards.
Nurture a culture of quality through collaboration with teammates across the engineering function to make sure quality is embedded in both processes and technology.
Mentor/coach team members to ensure appropriate testing coverage within the team with a focus on continuous testing and a shift-left approach.
Requirements
Minimum 3 years of testing experience working with applications developed in languages like, node.js, Python, Golang, Java.
Solid experience in writing clear, concise, and comprehensive test plans and test cases.
Experience in building automated test suites for API's REST and/or gRPC with focus on data validation.
Experience in a programming language like, Python, Java, Golang, using it for automation API testing and web UI testing.
Experience with UI frameworks like Selenium, Webdriver IO, cucumber, pytest.
Experience with test case management tools like Testrail, and API testing tools like Postman.
Knowledge of data quality tools like Great Expectations, Deequ, etc. is desirable.
Must understand databases and ORMs, experienced with at least one RDBMS and DB Query language for the validation and gathering of test data.
Experience on modern Quality Engineering principles such as Continuous Testing and Shift Left.
Experience using LLMs to speed up development of automation and to improve the velocity of the test cycles.
Good understanding of service oriented and microservices architecture.
Experience with cloud environments like AWS, GCP, source control tools like Github and continuous integration and delivery software.
Attitude to work in a fast-paced environment which values agility over talk.
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