Software Development Engineer

This is a hybrid role which may require site visits to client. Candidates should reside in: Bellevue, Washington or Plano, TX or Connecticut, New Jersey, New York, or Pennsylvania. This role can be full-time or contract. Candidates must have permanent authorization to work in the United States. Visa sponsorship is not available for this role.

About the role

We are seeking a Software Development Engineer to design, develop, and support enterprise-scale Digital Asset Management (DAM) solutions centered around the Cloudinary platform. This role is responsible for building cloud-native integrations, automating image processing workflows, implementing AI-powered metadata solutions, and delivering scalable digital asset pipelines that support e-commerce operations.

Responsibilities

• Cloudinary Platform Administration & Development
  • Design, configure, and maintain Cloudinary environments, including upload presets, transformation URLs, upload APIs, asset organization, and environment configuration.
  • Lead Cloudinary account migrations, ensuring assets, metadata, presets, and configurations are accurately transferred between environments.
  • Develop and optimize Cloudinary image transformation strategies for responsive image delivery, format conversion, quality optimization, and performance.
• Digital Asset Management (DAM)
  • Design and implement DAM workflows supporting enterprise-scale image libraries.
  • Develop asset tagging, organization, metadata governance, and retrieval strategies.
• API & Systems Integration
  • Design, develop, and maintain RESTful APIs integrating Cloudinary with enterprise systems.
  • Build cloud-native integration services connecting DAM platforms with internal applications and third-party systems.
• Cloud & Serverless Development
  • Develop and maintain Azure Functions and AWS Lambda services supporting digital asset workflows.
  • Build scalable serverless applications for image processing, metadata generation, classification, and batch automation.
• AI & Metadata Automation
  • Design AI-assisted metadata generation workflows, including automated alt text generation and image classification.
  • Integrate Large Language Models (LLMs) into asset processing pipelines.
  • Develop prompt engineering strategies to improve AI-generated metadata quality and consistency.
  • Build bulk processing solutions utilizing Python and cloud APIs for large-scale metadata management.
  • Validate, normalize, and manage AI-generated metadata across enterprise asset libraries.
• E-Commerce Asset Management
  • Develop asset management solutions supporting retail product catalogs.
  • Design SKU-based tagging and retrieval systems.
• Production Support & Troubleshooting
  • Monitor production asset pipelines and cloud services.
  • Diagnose and resolve issues affecting serverless applications, APIs, and batch processing jobs.
• Agile Development & Documentation
  • Participate in Agile/Scrum ceremonies including sprint planning, backlog refinement, and retrospectives.
  • Manage work items through Jira.
  • Produce technical documentation, architecture diagrams, API specifications, and implementation guides.
• Cross-Functional Collaboration
  • Partner with product owners, business stakeholders, merchandising teams, and engineering teams to deliver enterprise solutions.
  • Communicate technical concepts effectively to both technical and non-technical audiences.

Requirements

• Three or more years of experience implementing or supporting enterprise Digital Asset Management platforms.
• Experience designing scalable serverless cloud applications.
• Strong background in enterprise systems integration.
• Experience building AI-powered automation solutions.
• Knowledge of retail or consumer products (CPG) catalog structures, including SKUs, product families, variants, and merchandising hierarchies.
• Familiarity with image delivery networks and web performance optimization.
• Experience supporting production cloud applications at enterprise scale.
• Strong analytical and problem-solving skills and attention to detail.
• Excellent written and verbal communication.
• Continuous improvement mindset.
• Ability to manage multiple concurrent initiatives.
• Technical leadership and ownership.
• Adaptability in rapidly evolving cloud and AI technologies.
• Jira project and work-management tool experience.

Pay

$100K to $130K/year