Senior Software Engineer - Experience League Knowledge Platform & GenAI Services

Adobe Inc.; San Jose (CA); Hybrid; USD 139,000 - 257,550; Full time

Job summary

Adobe Inc. is looking for a Senior Software Engineer for its Experience League Knowledge Platform, focused on building knowledge management and GenAI services. The role involves designing backend services and APIs to create structured, AI-ready knowledge for various applications.

Candidates should have 6+ years of experience in software engineering, expertise in Kubernetes and Docker, and a strong background in developing large-scale backend systems. This role is crucial in transforming Adobe's knowledge management approach.

Qualifications

• 6+ years of professional software engineering experience, including GenAI-powered services.
• Senior-level experience with large-scale backend or platform services.
• Practical understanding of GenAI production concerns.

Responsibilities

• Design and build backend services and APIs for a managed knowledge platform.
• Replace ad-hoc content ingestion approaches.
• Build services supporting agentic workflows, including content retrieval and enrichment.

Skills

Backend services and API design

Kubernetes

Docker

MongoDB Atlas

Cross-team collaboration

Job description

Senior Software Engineer - Experience League Knowledge Platform & GenAI Services

The Opportunity
Experience League is Adobe's enterprise learning and enablement platform, powering documentation, communities, events, and support experiences across a global audience. Content is increasingly consumed by humans and by AI systems that power knowledge agents and agentic workflows. Our team's charter evolves from building a single product surface to delivering GenAI‑first Knowledge Services—reliable, scalable platform capabilities that expose Experience League content as trusted, structured, and AI‑ready knowledge for internal and external clients. We are looking for a Senior Software Engineer (P40) to design and build knowledge management and GenAI services that enable product teams to create high‑quality, agentic product knowledge experiences without relying on ad‑hoc ingestion or scraping approaches.

Responsibilities

• Design and build backend services and APIs that expose Experience League content as a managed knowledge platform for downstream consumers such as product knowledge agents and AI assistants.
• Replace ad‑hoc content ingestion approaches with scalable, governed knowledge access patterns suitable for agentic workflows.
• Build and operate knowledge management services, including metadata, taxonomy, and structured representations (such as knowledge graphs), to improve retrieval quality for AI agents and assistants.
• Build services that support agentic workflows, including content retrieval, enrichment, versioning, feedback loops, and quality signals used by AI agents.
• Evolve the content publishing pipeline to make Experience League content AI‑ready by design, supporting structured data, tagging, and faster availability for GenAI consumers.
• Take ownership of ambiguous, cross‑cutting problem spaces in knowledge and GenAI platforms, shaping solutions from early design through production adoption.
• Raise the operational bar for shared GenAI and knowledge services through automation, monitoring, and incident learning.
• Improve the scalability, reliability, and maintainability of systems that transform authored content into consumable knowledge assets.
• Apply CDN expertise to ensure globally distributed, low‑latency access to knowledge content for both human and machine consumers.
• Build and operate containerized services using Docker and Kubernetes, applying cloud‑native patterns for resilience, observability, and safe deployment.
• Influence adoption of shared knowledge and GenAI services by working closely with product, content, and platform teams to define clear integration patterns and success metrics.

Qualifications

• 6+ years of professional software engineering experience, including hands‑on experience delivering GenAI‑powered services used by other teams, with exposure to agent‑based or retrieval‑augmented (RAG‑style) workflows.
• Senior‑level experience building and operating large‑scale backend or platform services, with strong ownership of reliability and performance.
• Practical understanding of GenAI production concerns, including evaluation, quality, observability, safety, and cost tradeoffs.
• Strong hands‑on expertise with backend services and API design.
• Production experience with Kubernetes, Docker, and MongoDB Atlas, including schema design, indexing, and performance tuning.
• Ability to work across teams and influence platform adoption through clear communication and technical leadership.

Nice to Have

• Experience building knowledge management systems or content platforms used by both humans and AI.
• Experience integrating with AEM / EDS or large‑scale content authoring systems.
• Experience with CDN‑based optimization strategies for globally distributed content delivery.
• Familiarity with shared GenAI service models, such as service catalogs, onboarding patterns, or governance frameworks.

Impact

You will help transform Experience League from a content destination into a foundational knowledge platform, powering agentic product knowledge experiences across Adobe. Your work will reduce duplicated ingestion efforts, raise the quality and reliability of AI‑powered knowledge, and accelerate how teams build and ship GenAI experiences.

Pay Range

The U.S. pay range for this position is $139,000 – $257,550 annually. Pay within this range varies by location and may also depend on job‑related knowledge, skills, and experience.

Equal Employment Opportunity

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Disability Accommodation

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail] or call [phone].

Interview AI Use Guidelines

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

State‑Specific Notices

California: This role considers qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado: If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations.

Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.