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Jobs Search
Start Date
Immediate
Expiry Date
22 Jun, 25
Salary
160000.0
Posted On
22 Mar, 25
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
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.
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