Senior Quality Engineer

Position: Quality Engineering Manager – Automation & Data Validation (Retail/Personalization) We are looking for an experienced Quality Engineering Manager to lead automation strategy and quality initiatives for a high-impact personalization platform within the retail technology space.

This is a strategic, hands-on role that combines leadership, deep automation expertise, and strong collaboration with engineering and data teams.

The ideal candidate will have a background in quality engineering for large-scale, data-driven systems, and an ability to work across API, UI, and backend layers in a cloud-centric environment.

Experience in the e-commerce or retail sector—especially in personalization workflows—is strongly preferred.

Onsite Role in Katy Texas Rate: 60-85/hr What You’ll Be Doing:Spearhead quality assurance planning, automation frameworks, and testing methodologies for an enterprise-grade personalization platform.Oversee all aspects of QE across the program—owning test architecture, test coverage, and quality KPIs.Lead a distributed QA team, coordinating with offshore resources and client stakeholders to ensure effective delivery.Design, develop, and manage automated test suites for web interfaces, APIs, and backend data pipelines.Ensure robust data validation across recommendation engines and customer experience workflows.Collaborate closely with engineers, data scientists, and product managers to define, measure, and enforce quality benchmarks.Drive integration of test coverage into CI/CD workflows, enabling rapid, reliable delivery.Support performance benchmarking and testing for high-volume, real-time personalization use cases.

Your Background & Skills:7+ years of experience in software quality engineering, with a focus on test automation and data validation.Prior experience working on personalization features or recommendation systems within retail or e-commerce domains.Proficiency with automation tools such as Selenium, Cypress, or equivalent for UI and API-level automation.Deep knowledge of API testing using tools like Postman, Rest Assured, or similar libraries.Strong SQL skills and familiarity with validating large datasets across multiple systems.Practical programming experience with Java, Python, or JavaScript for building robust automation frameworks.Experience with cloud-based data infrastructure (AWS, GCP, or Azure) and handling data at scale.

Familiarity with Spark or Big Data frameworks is a plus.Solid understanding of CI/CD workflows, automated pipelines, and version control systems.Strong communication skills and the ability to lead teams across geographies and time zones.