principal operations Network Engineer tech_leadership · Posted Mar 25, 2026
$206,400 – $379,100
USD per year

About this role

Adobe is hiring a principal-level Network Engineer in the operations function based in San Jose, CA. The posting calls out experience with Python, Java, Express, Kafka. Compensation is listed at $206,400–$379,100 per year.

Role
Network Engineer
Function
operations
Level
principal
Track
Tech leadership
Employment
Full-time
Location
San Jose, CA
Department
Engineering and Product
Posted
Mar 25, 2026

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Job description

from Adobe careers

The Opportunity

Adobe Express enables all users, whether individuals or large organizations, to effortlessly produce impressive content. The AI Foundations team constructs a flexible, scalable AI framework that drives creativity at scale in design, imaging, motion, and personalization.

We're looking for a Principal Architect to build and implement the AI framework for Adobe Express, merging strong ML skills with proficiency in distributed systems, data architecture, and large-scale service development.

You'll define and invent the end-to-end foundation that brings Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI to life — spanning model orchestration, inference systems, data pipelines, caching and storage layers, session analytics, and continuous evaluation frameworks.

This role blends applied research and engineering leadership — ideal for someone who can connect modeling innovation with production-grade systems that deliver real-time, customer-facing intelligence at scale.

What You’ll Do

  • Architect and evolve the complete AI stack for Adobe Express — covering Agentic AI, Construct AI, Imaging AI, Motion AI, and Personalization AI.
  • Develop and operationalize end-to-end systems — integrating microservices, data pipelines, LLM orchestration layers, in-house and third-party models, databases, caches, session analytics, and evaluation systems into a cohesive architecture.
  • Develop large-scale data and inference infrastructure to support model training, fine-tuning, evaluation, and deployment — employing Spark, Kafka, Flink, and other distributed frameworks.
  • This is an excerpt. Read the full job description on Adobe careers →
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