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QA Automation Engineer

QA Automation Engineer

Avery DennisonLittle Rock, AR, US
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Job Description

Job Description

Company Description

Avery Dennison Corporation (NYSE : AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at www.averydennison.com.

Job Description

We are seeking a motivated QA Automation Engineer to join our dynamic StoreLink development team. StoreLink is one of our newest digital solution offerings, which integrates in-store execution from one centralized platform, allowing clients to manage everything for their print and digital display needs all in one place. In this role, you will be responsible for designing, developing, and maintaining our automated testing infrastructure to ensure end-to-end application quality, from the user interface down to the underlying data integrity. As we deploy and modernize applications on the Microsoft Azure platform, you will be a critical part of our commitment to excellence. The ideal candidate will have a passion for quality and a strong background in building robust, scalable test automation for modern web applications and complex data systems.

Key Responsibilities

Design, create, and maintain efficient, reusable, and reliable automated test scripts using modern web automation frameworks like Selenium, Cypress, or Playwright.

Write and automate complex data validation tests by querying databases and using programmatic libraries (e.g., Pandas) to compare large datasets.

Develop and implement data quality checks within our data pipelines using modern validation frameworks.

Integrate and manage automated test suites within our Azure DevOps CI / CD pipelines to validate deployments to Azure App Service and Azure Kubernetes Service (AKS).

Identify, record, document thoroughly, and track bugs through our defect tracking system.

Collaborate closely with developers, product managers, and other stakeholders to understand system requirements and drive quality upstream.

Perform thorough regression testing when bugs are resolved.

Qualifications

3-5 years of proven experience in a QA Automation Engineer role or similar.

Hands-on experience with modern web automation frameworks (e.g., Selenium, Cypress, Playwright).

Solid understanding of software QA methodologies, tools, and processes.

Experience with version control systems (e.g., Git).

Demonstrated ability to write clear, concise, and comprehensive test plans and test cases.

Excellent analytical and problem-solving skills.

Experience working in an enterprise business and generally knowledgeable about business processes

Preferred Qualifications

Proficiency in scripting or programming languages, particularly Python (with libraries like Pandas) or C# (.NET).

Advanced SQL skills for writing complex queries (e.g., using CTEs, window functions) to validate data transformations and integrity.

Direct experience with Azure DevOps for building and managing CI / CD pipelines.

Experience with cloud platforms, particularly Microsoft Azure (Azure App Service, Azure Kubernetes Service).

Experience with dedicated data validation frameworks (e.g., Great Expectations, dbt test).

Experience with API testing tools (e.g., Postman, REST Assured).

Familiarity with data schema validation technologies such as JSON Schema.

Experience with modern AI-powered testing platforms (e.g., Mabl, Testim).

Experience with database schema and data comparison tools (e.g., Redgate SQL Compare) is a plus.

Experience working in an Agile / Scrum development environment.

Additional Information

The salary range for this position is $73,725 - $ 98,300  / year.

The hiring  base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and / or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE / M / F / Vet / Disabled. All your information will be kept confidential according to EEO guidelines.

Reasonable Accommodations Notice

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.

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