Backend Engineer — AI-Driven Digital Asset Platform

Apple, Inc.; Austin (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Apple, Inc. is seeking a backend software engineer to design and implement high-throughput Java microservices for its Digital Asset Management systems. You will integrate DAM platforms, apply ML/AI to asset lifecycles, and collaborate across DevOps and data teams to ensure reliability and scale.

The role emphasizes building scalable backend architectures, implementing AI-powered search and tagging, and maintaining robust APIs in a distributed environment. Based in Austin, TX, on-site.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field or equivalent experience.
• 3+ years of backend software engineering experience.
• Strong Java proficiency incl. modern features and Spring Boot.
• Experience designing RESTful APIs, event-driven architectures, or distributed streaming systems.
• Familiarity with relational databases and vector stores such as PostgreSQL, Elasticsearch/OpenSearch, Milvus/Pinecone.

Responsibilities

• Architect and develop high-throughput, low-latency Java microservices and ingestion pipelines.
• Build and extend DAM platform integrations (Nuxeo, Orange Logic, or equivalent).
• Apply ML/Generative AI to asset workflows: search, tagging, embeddings, and multimodal pipelines.
• Ensure high availability, data consistency, and fault tolerance across storage tiers and caches.
• Collaborate with DevOps, CI/CD, Kubernetes/Docker, and observability teams.
• Translate requirements into clean, well-documented technical specs and APIs.

Skills

Java

Spring Boot

REST APIs

Kafka

PostgreSQL

Elasticsearch/OpenSearch

Kubernetes

Docker

OpenTelemetry/Prometheus

AI/ML integration

Education

Bachelor's degree in CS/Engineering

Tools

Kafka

Docker

Kubernetes

OpenTelemetry

Prometheus

Job description

Apple, Inc. is seeking a backend software engineer to design and implement high-throughput Java microservices for its Digital Asset Management systems. You will integrate DAM platforms, apply ML/AI to asset lifecycles, and collaborate across DevOps and data teams to ensure reliability and scale.

The role emphasizes building scalable backend architectures, implementing AI-powered search and tagging, and maintaining robust APIs in a distributed environment. Based in Austin, TX, on-site.