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Code and Theory

QA Manual & Automation Engineer, Adobe Experience Cloud

Sorry, this job was removed at 06:07 p.m. (EST) on Thursday, Aug 28, 2025
In-Office or Remote
Hiring Remotely in New York, NY
In-Office or Remote
Hiring Remotely in New York, NY

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We are seeking a QA Manual & Automation Engineer with expertise in Adobe Experience Cloud solutions, including AEM, AEP, Workfront, Adobe Analytics, and Target. The ideal candidate will be responsible for designing, executing, and automating test cases to ensure the quality, performance, and security of Adobe Experience Cloud implementations. This role requires a strong understanding of manual and automated testing frameworks, API testing, and test strategies to support digital transformation initiatives. 

WHAT YOU'LL DO

  • Develop and execute manual and automated test cases for Adobe Experience Cloud solutions, ensuring high-quality releases
  • Design and implement test automation frameworks for AEM, AEP, Workfront, Analytics, and Target
  • Perform functional, regression, integration, and performance testing across multiple platforms and devices
  • Collaborate with developers, product owners, and business analysts to understand business requirements and ensure test coverage
  • Conduct API testing for Adobe Experience Cloud integrations, ensuring seamless data flow
  • Identify, document, and track defects, ensuring timely resolution
  • Execute cross-browser and cross-device testing to validate digital experiences
  • Work closely with development teams in an Agile/Scrum environment to ensure continuous testing and fast feedback loops
  • Ensure compliance with industry best practices, security standards, and data privacy regulations (GDPR, CCPA)

WHAT YOU'LL NEED

  • Strong experience in testing Adobe Experience Cloud solutions, including AEM, AEP, Workfront, Adobe Analytics, and Target
  • Proficiency in manual testing methodologies, test planning, test case design, and defect tracking
  • Hands-on experience with test automation frameworks like Selenium, Cypress, JUnit, TestNG, or Playwright
  • Experience in API testing using Postman, RestAssured, or SoapUI
  • 5–8 years of experience in software testing, with at least 3+ years of experience in Adobe Experience Cloud testing
  • Proven expertise in both manual and automation testing of enterprise-level digital marketing platforms 
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

NICE TO HAVE

  • Experience with performance testing tools like JMeter, LoadRunner, or K6
  • Experience with AI-driven automation testing tools
  • ISTQB Certification or similar QA certifications preferred
  • Adobe Experience Cloud-related certifications (Adobe Workfront, Adobe Analytics, AEM) are a plus

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Mediacurrent, Rhythm, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The target range of base compensation for this role is $120,000 - $160,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

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