Technical Documentation Engineer- Python Automation

Requirements

• Knowledge of network engineering concepts
• Knowledge of DITA Open Toolkit (DITA-OT) principles
• Knowledge of Retrieval-Aware Authoring (RAA) principles
• Familiarity with knowledge graphs, ontology, or semantic modeling
• Understanding of metadata standards such as Dublin Core and schema.org
• Exposure to vector search, embeddings, or semantic indexing
• Experience with REST APIs and JSON-based integrations
• Experience with content quality tools (e.g., Acrolinx, Congree)
• #LI-FA
• At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.
• Ciena is an Equal Opportunity Employer, including disability and protected veteran status.
• If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Benefits

Additional Information

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact. Ciena is seeking a Technical Content and Solutions Specialist to contribute to its Digital Asset Management (DAM) ecosystem. This role focuses on developing structured, reusable, and machine-consumable content assets that enhance enterprise-wide discoverability and scalability. The position integrates technical writing, structured authoring, and Python-based automation to enable AI-driven content solutions. The ideal candidate is a hands-on contributor who develops high-quality content and builds automation and integration solutions using Python and modern APIs. How you will make an impact: Create and maintain structured technical content using DITA/XML in AEM Guides Translate complex technical information into modular, reusable content components Apply retrieval-aware authoring practices to improve content discoverability and reuse Manage content lifecycle activities including versioning, publishing, archival, and retirement Work with AEM Guides and AEM Sites for content authoring, publishing, and lifecycle management. Define and maintain metadata, taxonomy, and classification frameworks across DAM systems Develop Python-based automation for content processing, validation, and workflow optimization Integrate API and LLM-based services to support content tagging, summarization, and retrieval Support content ingestion and migration, ensuring structure and metadata alignment. Ensure adherence to content governance, standards, and best practices. Optimize content and metadata for search, retrieval, and reuse across DAM systems. The must haves: 5+ years of experience in Application of technical writing practices using DITA, XML, and structured authoring concepts such as topics, maps, and reuse mechanisms Proficiency in Python programming for automation and system integration Experience of Adobe Experience Manager as a Cloud Service (AEMaaCS) Experience of AEM Sites for content authoring and publishing workflows Experience of Adobe Edge Delivery Services Exposure to LLM APIs or service-based integrations Knowledge of Digital Asset Management (DAM) systems, including content modeling, metadata, taxonomy, and organization principles Knowledge of cloud/SaaS documentation environments. Basic understanding of retrieval-based concepts (e.g., RAG).

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