Software Engineer, Digital Asset Management (Retail & Marcom)

Quick Facts

• Focus: Enterprise Digital Asset Management (DAM) engineering, backend distributed systems, and production AI/ML for search and automation.

Description

Design and develop next-generation enterprise asset platforms that manage, transform, index, and distribute massive volumes of creative and digital assets worldwide. Work at the intersection of backend engineering and machine learning/generative AI to deliver intelligent search, semantic understanding, auto-tagging, multimodal indexing, and AI-driven automation in core DAM workflows. Shape high-scale, mission-critical systems used daily by cross-functional teams.

Responsibilities

• Design and develop scalable distributed backend architectures for enterprise DAM platforms
• Evolve and operate high-scale DAM systems for reliable asset workflows
• Integrate ML and generative AI capabilities into foundational asset workflows
• Implement robust AI/ML pipelines delivering high-impact outcomes
• Collaborate with product managers, ML practitioners, platform architects, and downstream engineering teams

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience
• 3+ years of professional backend-focused software engineering experience
• Strong proficiency in Java, including modern language features, concurrency, performance profiling, and Spring Boot
• Practical experience with RESTful APIs, event-driven architectures, or distributed streaming systems (e.g., Apache Kafka)
• Familiarity with relational databases (e.g., PostgreSQL) and search/vector stores (e.g., Elasticsearch, OpenSearch, Pinecone)

Benefits

• Opportunity to shape high-scale, mission-critical systems used by cross-functional teams
• Work with both backend engineering and applied ML/generative AI in production workflows
• Collaborative environment partnering with product, ML, and platform architecture teams