Senior Quality Assurance Engineer

As a Quality Engineer, you will be part of a dynamic team ensuring the accuracy and consistency of systems driving our inventory lifecycle, planning, and product performance.

You will collaborate with data engineers to develop tools and processes that warrant the correctness of functionality and data. Our teams own the source of truth for all inventory position-related information, develop the systems that handle the inventory lifecycle of our products, and integrate with partners to provide an accurate picture of what we can sell to fans and what they demand most.

The team takes pride in ensuring that these datasets and processes are accurate, reliable, and available on time by building and operating near real-time & batch data pipelines, exploring emerging technologies in this area, and helping other teams consume and realize the value of the data.

• Nurture a culture of quality through collaboration with teammates across the engineering function to ensure quality is embedded in both processes and technology.
• Develop quality-focused test strategies that help the team deliver software providing maximum quality without sacrificing business value.
• Define quality metrics and build quality monitoring solutions and dashboards.
• Mentor/coach team members to ensure appropriate testing coverage within the team with a focus on continuous testing and a shift-left approach.
• Contribute to process improvements and refinement of Quality Engineering practices across the QE function.
• Recommend best test practices and evangelize a testing early culture to empower the team to make sound engineering decisions.
• Work with multiple teams of engineers and product managers to gather requirements and data sources to design and build test plans.
• 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 to ensure quality of the data across all data platform components.
• Collaborate with data partners 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.
• Research new tools that can improve our quality process and implement them.

• Minimum 7 years of testing experience certifying the quality of applications developed in languages like Python, Golang, Java, C#.
• Experience in a programming language like Python, Java, Golang, Node.js using it for automation and data validation.
• Must understand databases and ORMs, experienced with at least one RDBMS and DB Query language.
• Ability to define technical standards and guidelines for test framework development.
• Experience on modern Quality Engineering principles such as Continuous Testing and Shift Left.
• Clear understanding of different testing principles like data-driven testing, behavior-driven development, etc.
• Solid experience in writing clear, concise, and comprehensive test plans and test cases.
• Experience in building automated test suites for APIs REST and gRPC with focus on data validation.
• Extensive experience with OpenAPI Specifications and tools like Swagger for designing, documenting, and validating APIs.
• Proficiency in using schema validation tools for ensuring compliance with API contracts.
• Strong understanding of RESTful principles, HTTP protocols, and JSON schema validation.
• Proficiency in managing test data and mocking/stubbing for complex test scenarios.
• Experience testing applications using producer/consumer models and event streaming like Kafka, RabbitMQ, Pulsar is a plus.
• Proficiency in testing tools such as Postman, K6, and JMeter for API performance and functional testing.
• Hands-on experience with test automation tools like Playwright, Selenium, and other modern test frameworks.
• 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, preferably GitLab.
• Experience with AWS services like S3, SQS, RDS, Elasticache, EMR.
• Proven track record of mentoring team members on automation best practices, framework design, and testing methodologies.
• Ability to lead technical discussions and drive decisions on test automation strategies and implementation.
• Strong debugging, root cause analysis, and problem-solving skills.
• Ability to troubleshoot issues in distributed systems, APIs, and automation tools.
• Great communication skills.
• Experience on inventory management and fulfillment processes and workflow orchestration tools like Maestro, Temporal, etc. are a plus.

Fanatics ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally. We offer products and services across Commerce, Collectibles, and Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through our platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as we build our Sportsbook and iGaming platform. We have a database of over 100 million global sports fans; a partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences, and retail partners, 2,500 athletes and celebrities, and exclusive athletes; and over 2,000 retail locations, including Lids retail stores. Our employees are committed to enhancing the fan experience and delighting sports fans globally.