Six months of supervisory experience required, preferably in a retail environment
Knowledge of cash handling, facility, and safety control policies and practices
Ability to occasionally lift up to 50 pounds
Be able to stand for extended periods of time and climb stairs
Comfortable working in a non-climate-controlled environment
Have full mobility and can twist, stoop, and bend
High school diploma or equivalent
English fluency in reading, writing, and speaking

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Adobe Experience Manager Developer [210008]

Aquent Talent

Camden, NY

RemoteHealth InsurancePaid Time OffRetirement Benefit

6 – 10 years of experience working with on-premise versions of Adobe Experience Manager (AEM) toolset.
Proven experience with AEM forms and building Adaptive Web Forms using Core components in a headless setup.
Strong experience using Rule editors, Theme editor, FDM, and writing custom JavaScript functions.
Ability to handle the end-to-end form lifecycle (UI –> submission –> backend –> DOR).
Experience in utilizing core AEM concepts to build and define APIs for form submissions.
Professional level front-end skillsets including HTML, JSP, and NPM webpack build.
Knowledge of code upgrade and code promotion, including core component upgrades and deployments through package manager.
Ability to troubleshoot issues related to SAML and oSGI bundles.
Experience in using AEM Dispatcher in a form's environment.
Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with GenAI coding assistants is expected.
Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
Experience with CI/CD tools.

SmartExplore AI is experimental.

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