Senior QA Automation Engineer - Labor Management Forecasting (Hybrid)

Publix•Lakeland, FL

4d•Hybrid

About The Position

Publix Super Markets, Inc. is seeking a Senior QA Automation Engineer to join their Labor Management Forecasting team. This role involves leading end-to-end automation testing with a focus on backend, SQL, and Databricks testing. The team designs, builds, and delivers a robust application supporting labor activities like forecasting, time attendance, and scheduling. Publix is a large, employee-owned company with a dynamic technology team, offering career opportunities from internships to technical leadership. They are consistently ranked among Fortune’s “100 Best Companies to Work For.”

Requirements

Bachelor’s degree in computer science or a related analytical field, or equivalent experience
4+ years of software testing and quality assurance experience
4+ years hands-on experience building and maintaining automated test solutions across UI, API, or backend systems
2+ years of experience with defect tracking, root cause analysis, and test management tools (e.g., Azure DevOps, Jira, TestRail)
2+ years of experience writing SQL queries and performing database validations and manipulation.
1+ years of experience validating big data transformations, medallion architecture, and Databricks pipelines
1+ years of experience working in an Agile environment
Strong understanding of QA methodologies, including functional, integration, and end-to-end testing
Experience with test automation
Experience with Azure DevOps

Nice To Haves

Experience implementing AI for test case generation, automation enhancement, and UI testing

Responsibilities

Lead and mentor a high-performing QA team across manual and automated testing disciplines
Define and drive quality strategy, standards, and best practices across the organization
Design, develop, and maintain scalable automated test solutions across UI, API, and backend layers
Own and execute comprehensive test planning, including test case design, traceability, and coverage optimization
Collaborate with engineering and product teams to clarify requirements, define acceptance criteria, and align on quality goals
Integrate automated testing into CI/CD pipelines to enable continuous quality feedback and shift-left testing practices
Identify, document, and manage defects, including root cause analysis and defect prevention initiatives
Validate end-to-end workflows across integrated, data-driven, and distributed systems
Drive continuous improvement in test automation adoption, efficiency, and overall product quality
Communicate testing progress, risks, and quality outcomes through clear reporting to support release readiness decisions