Senior Software Engineer — Experience League Knowledge Platform & GenAI Services

Adobe

Quick summary

Work type: On-site
Location: San Jose
Salary: $177,900–$257,550 / yr
Posted: 74 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k

This role $218k

$131k most similar roles pay here $271k

This role pays more than 71% of similar roles. Most pay $159,750–$222,000 — the shaded band above. At the midpoint, this role pays about $218k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 177 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 177 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer — Experience League Knowledge Platform & GenAI Services

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As a Senior Software Engineer (P40) at Adobe’s Experience League team, you will design and build backend services and APIs that expose content as a managed knowledge platform for AI agents and assistants. Your role involves replacing ad-hoc ingestion methods with scalable, governed access patterns suitable for agentic workflows, while also building metadata management systems to enhance retrieval quality. You’ll work on evolving the content publishing pipeline to make it AI-ready by design, ensuring structured data and faster availability. Key skills include 6+ years of professional software engineering experience in GenAI-powered services, expertise with Kubernetes, Docker, MongoDB Atlas, and a strong background in backend service design. This role demands hands-on involvement in large-scale platform services, automation, monitoring, and incident learning to ensure high reliability and performance for globally distributed knowledge content.

Skills

Kubernetes Docker MongoDB Atlas API design GenAI CDN Knowledge graphs Terraform Python Go CI/CD Prometheus Grafana AEM EDS PostgreSQL

What you'll do

Design and build backend services and APIs for a managed knowledge platform.
Replace ad-hoc content ingestion with scalable, governed access patterns for AI.
Build metadata, taxonomy, and structured representations like knowledge graphs.
Support agentic workflows through content retrieval, enrichment, and versioning.
Evolve the content publishing pipeline to make Experience League AI-ready.

What we're looking for

6+ years of professional software engineering experience with GenAI-powered services.
Expertise in designing and operating large-scale backend or platform services.
Practical understanding of GenAI production concerns, including evaluation and observability.
Strong hands-on expertise with backend services and API design.
Production experience with Kubernetes, Docker, and MongoDB Atlas.
Ability to influence platform adoption through clear communication and technical leadership.

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