Backend Engineer: DAM & Generative AI

Apple, Inc.; EE. UU.; Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Apple, Inc. is seeking a skilled software engineer for the DAM Engineering team.

You will design and develop high-throughput backend services and ingestion pipelines in Java, focusing on scalable distributed architectures and integration with DAM platforms such as Nuxeo/Open-source options. You will apply ML and generative AI to asset workflows, enabling semantic search, automated tagging, and multimodal processing while ensuring high availability and data consistency across storage and delivery

Formación

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a strong focus on backend systems.
• Strong proficiency in Java (including modern Java features, concurrency, performance profiling, and frameworks such as Spring Boot).
• Practical experience designing and operating RESTful APIs, event-driven architectures, or distributed streaming systems (e.g., Apache Kafka or equivalent modern message brokers).
• Familiarity with database technologies (relational databases such as PostgreSQL and search/vector stores like Elasticsearch, OpenSearch, or Milvus/Pinecone).
• Digital Asset Management Experience: Hands‑on experience developing, configuring, or extending enterprise or open‑source DAM platforms or similar content repository engines.
• Understanding of core computer science concepts, including algorithms, data structures, distributed systems, and concurrent programming.
• Experience with cloud platforms (e.g., AWS, GCP, Alibaba Cloud).
• ML & Generative AI Integration: Hands‑on experience applying ML or generative AI in production software, such as integrating machine learning inference services, large language models, embeddings, vector databases, computer vision models, or LLM‑based pipelines (e.g., LangChain, model serving via Triton/TorchServe, prompt engineering, or multimodal search).
• Distributed Storage & Media Processing: Familiarity with cloud object storage (S3), content delivery networks (CDNs), and media processing pipelines.
• DevOps & Cloud‑Native Tooling: Working familiarity with Docker, Kubernetes, infrastructure-as‑code, and production telemetry (OpenTelemetry, Prometheus, Grafana).
• Strong analytical problem‑solving skills, with enthusiasm to tackle ambiguous technical challenges in a fast-paced environment.

Responsabilidades

• Architect and Develop Backend Services: Design, implement, and maintain high-throughput, low-latency microservices and ingestion pipelines using Java and modern distributed architectures.
• DAM Platform Engineering & Integration: Build, extend, and customize Digital Asset Management solutions - tailoring core document/asset models, lifecycle workflows, and storage abstractions - and integrate them with internal systems and creative tools.
• Apply ML and Generative AI to Digital Assets: Enable Natural Language Search, Embed ML models and LLM/multimodal workflows into asset lifecycle pipelines - powering automated tagging, image and video understanding, semantic and vector search, captioning, transcript extraction, content summaries, metadata enrichment, and generative content workflows.
• Scale and Reliability: Ensure high availability, data consistency, and fault tolerance across distributed storage tiers, caching layers, and search engines handling petabyte-scale media.
• Full Lifecycle Involvement: Collaborate closely with cross-functional teams - including DevOps across CI/CD pipelines, containerized deployments (Kubernetes/Docker), and observability (metrics, logs, traces) - as well as Production Support and Data Services teams.
• Drive Technical Excellence: Translate ambiguous requirements and business needs into clean, testable, and well‑documented technical specifications and APIs.

Conocimientos

Java

Spring Boot

REST APIs

Distributed Systems

Kubernetes

Docker

Cloud (AWS/GCP)

ML/AI integration

PostgreSQL

Kafka

Educación

Bachelor's degree in CS/Engineering

Herramientas

Docker

Kubernetes

OpenTelemetry

Prometheus

Grafana

LangChain

Triton/TorchServe

Descripción del empleo

Apple, Inc. is seeking a skilled software engineer for the DAM Engineering team.

You will design and develop high-throughput backend services and ingestion pipelines in Java, focusing on scalable distributed architectures and integration with DAM platforms such as Nuxeo/Open-source options. You will apply ML and generative AI to asset workflows, enabling semantic search, automated tagging, and multimodal processing while ensuring high availability and data consistency across storage and delivery