Staff Quality Engineer

As a Staff Quality Engineer at Fanatics, you will specialize in building automated testing including test suites, reporting capabilities and continuous integration to ensure the accuracy and consistency of the systems driving our inventory lifecycle, planning and product performance. Youll be part of a multi-disciplinary Quality Engineering team while also working with our data engineers to ensure we have tools and processes that warrant the correctness of the functionality and data and quickly identify any problems. The teams within our inventory organization own the source of truth for all inventory position related info, develop the systems that handle the inventory lifecycle of our products and the integrations that keep our partners updated with an accurate picture of what we can sell to our fans and what they demand the most. Our teams also work on models to drive efficiency of our inventory management. Multiple teams across Fanatics Commerce, including Fulfillment, Merchandising and Planning, Finance, Business Intelligence and Analytics rely on these datasets and several KPIs dashboards used by our Senior Leadership aid data-driven business decisions. The team takes pride in ensuring that these datasets and the processes that generate the data 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.

If you are an experienced Quality Engineer with a passion for delivering quality products and are curious and eager to keep learning and discovering new tools to improve the efficiency of our quality cycle this opportunity is for you.

Responsibilities:

• Nurture a culture of quality through collaboration with teammates across the engineering function to make sure quality is embedded in both processes and technology.
• Develop quality focused test strategies that help the team deliver software that provides 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.
• Collaborates with data partners to triage issues and works 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.

A suitable candidate would have:

• Minimum 8 years of testing experience certifying the quality of with 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 API's 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.