Engineer, Quality Assurance - Platform Engineering

Engineer, Quality Assurance - Platform Engineering

Join to apply for the Engineer, Quality Assurance - Platform Engineering role at Foot Locker
.

This role will be HYBRID in our Irving, TX. Tech Hub. The Analytics Quality Assurance Engineer plays a pivotal role in ensuring the accuracy, reliability, and performance of analytics implementations across Foot Locker’s digital platforms. This role blends strategic leadership with hands‑on testing expertise, focusing on validating analytics tagging, maintaining data integrity, and driving quality standards across web and mobile applications.

The ideal candidate will drive QA efforts, teach team members quality standards, and collaborate cross‑functionally to support continuous delivery and data‑driven decision‑making.

• Execute functional, integration, and regression testing for web and mobile applications.
• Validate analytics tags and ensure data accuracy across platforms.
• Support A/B testing initiatives by verifying test setup, data collection, and reporting accuracy.
• Identify, log, and track defects using standard tools.
• Collaborate with developers and QA leads to ensure timely resolution of issues.
• Assist in maintaining and running automated test scripts for regression testing.
• Gain exposure to AI‑based tools for analytics validation and optimization.
• Learn and apply best practices in automation and CI/CD pipelines.
• Work closely with Product Owners, Business Analysts, Developers, and Mar Tech teams.
• Participate in cross‑functional meetings to ensure alignment on analytics and A/B testing goals.
• Stay updated on QA best practices, AI‑driven testing tools, and analytics technologies.
• Develop skills in test automation, A/B testing frameworks, and data validation.
• Collaborate with the analytics team to validate tagging implementations against defined requirements.
• Implement and manage tag deployment using Adobe Launch or Google Tag Manager.
• Utilize Adobe Analytics or Google Analytics, including personalization capabilities.
• Leverage Monetate or Adobe Target to deliver tailored experiences and improve conversion rates.
• Define standards for analytics QA testing practices.
• Conduct functional and regression testing for analytics across releases.
• Mentor QA resources on Adobe stack and analytics best practices.
• Document all test results and maintain test case repositories.
• Attend scope and sprint planning meetings to ensure QA coverage.
• Conduct audits and troubleshoot tracking gaps to maintain data confidence.
• Provide support for analytics reporting and break fixes.
• Ensure data governance and integrity across platforms.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum 3 years of experience in software testing.
• Experience testing analytics solutions on websites and mobile apps.
• Familiarity with Adobe Launch or Google Tag Manager.
• Digital analytics platforms such as Adobe Analytics or Google Analytics.
• Platforms such as Monetate or Adobe Target.
• Strong background in functional and regression testing.
• Proficiency in test management tools (e.g., JIRA, Test Rail, Zephyr).
• Hands‑on experience with automation tools (e.g., Selenium).
• Familiarity with CI/CD tools (e.g., Jenkins, Git Lab CI, Azure Dev Ops).
• Excellent communication, stakeholder management, and analytical skills.
• Strong interpersonal, organizational, and multitasking abilities.

• Experience with API testing (e.g., Postman, REST Assured).
• Knowledge of performance testing tools (e.g., JMeter, Gatling).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience in retail, e‑commerce, or supply chain domains.
• ISTQB or equivalent QA certification.

• Employee Discount
• Paid Time Off
• Medical | Dental | Vision Coverage
• 401(k) | Roth 401(k)
• Life Insurance
• Flexible Spending Account
• Opportunities for Advancement
• Tuition Reimbursement for Qualified Courses
• Strong Company Culture
• Employee Resource Groups

Salary: $90,000 - $110,000 annually. Salary will be determined by education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Retail