Software Engineer - Digital Asset Management

Content Solutions Engineering, part of Apple’s IS&T organization, builds and maintains the Content Management systems — including Digital Asset Management (DAM) — that empower Apple’s business teams to author, manage, and publish content across a wide range of channels. We build the systems that sit behind every piece of content Apple’s customers and employees interact with, at scale and with high reliability.

We’re looking for a backend engineer who is passionate about building resilient, high-throughput systems that make it effortless for content teams to manage, discover, and deliver digital assets across Apple’s ecosystem.

You will design, build, and operate backend services for our Digital Asset Management platform, working closely with content, publishing, and platform engineering teams to deliver reliable, scalable systems that power content authoring and delivery across Apple’s public and internal properties.

3+ years of software engineering experience, with a focus on backend or distributed systems. Programming skills in Java, with hands-on experience building services using Spring Boot. Experience building or operating Digital Asset Management systems, content management systems, or media processing/transcoding pipelines.

Experience working on metadata and search layer: schema modeling, controlled vocabularies, faceted query APIs, and metadata extraction from embedded sources .

Experience building rendition and derivative generation services — thumbnails, previews, web-optimized variants — orchestrated asynchronously at scale Experience designing and building REST APIs for high-throughput, production-grade systems Experience with NoSQL data stores such as MongoDB and/or DynamoDB, including schema/data modeling for scale. Experience with Kafka or similar event-streaming/messaging systems.

Experience with search technologies such as Solr or Elasticsearch. Experience deploying and operating services in containerized, cloud environments (AWS, EKS/Kubernetes).

Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams. Experience with metadata and taxonomy design for large-scale content or asset repositories.

Hands-on experience or interest in AI/agentic tooling — such as AI-driven metadata tagging, agentic workflows, LLM-powered automation, or building MCP (Model Context Protocol) servers — applied to real engineering use cases. Experience with CDN configuration and storage optimization for content delivery at scale. Proficiency with Git and collaborative software development workflows.

Experience mentoring engineers and leading projects or technical design discussions. BS/MS in Computer Science, Software Engineering, or equivalent practical experience.