Jobs · Engineering · Arizona

Sr. Golang Engineer

MACHINE LEARNING TECHNOLOGIES LLC · Phoenix, AZ · 2 wk ago
EngineeringContract

Job Overview

Job ID: J52997
Location: Phoenix, AZ
Duration: 12 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C

Role Descriptions

  • Strong proficiency in AEM Cloud development| customization| and configuration
  • In-depth knowledge of AEM architecture| including Assets| Sling APIs| Sites API| Content Delivery API| GraphQL APIs| Schedulers| OSGi services| and workflows.
  • Experience with front-end technologies such as HTML| CSS| JavaScript| Node.js| and React.
  • Proven experience in Digital Asset Management (DAM) or a related field| preferably in an enterprise environment.
  • Strong understanding of DAM principles| practices| and technologies.
  • Familiarity with metadata standards and taxonomy management within DAM systems.
  • Hands-on engineer with expertise in developing complex| large-scale enterprise applications.
  • Experience in capacity planning| continuous performance improvements| and proactive issue identification.
  • Extensive technology and business experience in architecture design| deployment| systems life cycle management| and infrastructure planning.
  • Ability to balance multiple| often conflicting constraints and make rapid decisions in high-pressure environments.
  • Solid foundation in software design| data structures| and algorithms| with strong analytical and debugging skills.
  • Adobe Experience Manager (AEM)
    • Act as the AEM domain expert for content architecture, platform capabilities, and best practices
    • Lead AEM SaaS administration activities, including user access, permissions, environments, workflows, and basic configuration
    • Define and govern content models, templates, components, and taxonomy aligned with business and UX needs
    • Drive content design standards, reusability, and scalability across multiple digital channels
    • Collaborate with UX, Product, Marketing, and Engineering teams to translate requirements into AEM-ready designs
    • Ensure adherence to governance, security, compliance, and accessibility standards
    • Support content authors and business users with AEM authoring guidance and best practices
    • Provide oversight on AEM integrations, release readiness, and platform stability
    • Identify opportunities for platform optimization and continuous improvement

Pay

Depending on Experience (DOE)

Schedule

N/A

Benefits

N/A

Skills

Strong proficiency in AEM Cloud development| customization| and configuration
In-depth knowledge of AEM architecture| including Assets| Sling APIs| Sites API| Content Delivery API| GraphQL APIs| Schedulers| OSGI services| and workflows.
Experience with front-end technologies such as HTML| CSS| JavaScript| Node.js| and React.
Proven experience in Digital Asset Management (DAM) or a related field| preferably in an enterprise environment.
Strong understanding of DAM principles| practices| and technologies.
Familiarity with metadata standards and taxonomy management within DAM systems.

Qualifications

Hands-on engineer with expertise in developing complex| large-scale enterprise applications.
Experience in capacity planning| continuous performance improvements| and proactive issue identification.
Extensive technology and business experience in architecture design| deployment| systems life cycle management| and infrastructure planning.
Ability to balance multiple| often conflicting constraints and make rapid decisions in high-pressure environments.
Solid foundation in software design| data structures| and algorithms| with strong analytical and debugging skills.

Benefits

N/A

Pay

Depending on Experience (DOE)

Schedule

N/A

Benefits

N/A

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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