Adobe Experience Platform (AEP) Quality Engineer

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Location

This is a remote role.

About the job you’re considering

We are seeking a Quality Engineer with 8+ years of experience in Quality Engineering, test automation, and data-focused testing. The ideal candidate will bring strong expertise across the Adobe Experience Platform (AEP) ecosystem, along with hands-on experience in data validation, ETL testing, Java-based automation, and CI/CD integration.

In this role, you will validate complex customer and marketing data flows, build scalable automation solutions, and ensure data quality and end-to-end reliability across digital marketing and data platforms.

Your role

• Gather and analyze business, technical, and data requirements to define an effective testing approach and ensure comprehensive test coverage.
• Develop test strategies, test plans, test scenarios, and test cases covering functional, integration, regression, and data validation requirements.
• Design, develop, and maintain Java-based test automation solutions for integration, regression, and data validation testing.
• Validate end-to-end customer data flows across the Adobe Experience Platform ecosystem, including AEP, RTCDP, Adobe Journey Optimizer, Customer Journey Analytics, and Adobe Target.
• Automate and validate large-volume data ingestion, including CSV-based data feeds and data movement through Amazon S3.
• Perform ETL, data validation, and reconciliation testing, including validation of data accuracy between Snowflake databases and business-defined SharePoint layouts.
• Execute manual and automated testing across multiple environments, identify defects and data-quality issues, and drive them through resolution.
• Integrate and maintain automated test suites within CI/CD pipelines, supporting continuous testing and faster quality feedback.
• Partner with development, business, data, and client stakeholders to resolve issues, participate in defect triage, and ensure quality objectives are achieved.
• Prepare and maintain test documentation, execution results, defect status, quality metrics, and testing reports.

Your skills and experience

• 8+ years of experience in Quality Engineering, software testing, test automation, and data validation.
• Strong hands-on experience with Adobe Experience Platform (AEP) and related technologies, including AEP SDK, XDM Schema, and AEP Edge Network.
• Experience working with the broader Adobe ecosystem, including Real-Time CDP (RTCDP), Adobe Journey Optimizer (AJO), Customer Journey Analytics (CJA), and Adobe Target.
• Strong programming experience in Java, with hands-on experience developing and maintaining test automation solutions and frameworks.
• Strong experience in ETL testing, data validation, data reconciliation, and end-to-end data quality assurance.
• Experience testing and automating high-volume data ingestion processes, including CSV files, Amazon S3, and integrated data platforms.
• Experience validating data across platforms such as Snowflake and business-defined data layouts or reference sources such as SharePoint.
• Hands-on experience integrating automation test suites with CI/CD pipelines and supporting continuous testing practices.
• Strong understanding of functional, integration, regression, and end-to-end testing across complex data and digital platforms.
• Excellent analytical, problem-solving, communication, and stakeholder-management skills, with the ability to work effectively across business and technical teams.

The base compensation range for this role in the posted location is $76,730 - $150,800.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.