Technical Documentation Engineer- Python Automation
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonRESTful APIsJSON
Requirements
- 5+ years of experience in technical writing with strong expertise in DITA, XML, and structured authoring methodologies.
- Strong proficiency in Python programming for automation, scripting, and system integration tasks.
- Hands-on experience with Adobe Experience Manager (AEM as a Cloud Service) and related publishing workflows.
- Experience working with structured content delivery platforms and enterprise content management systems.
- Familiarity with Adobe Edge Delivery Services and modern content publishing architectures.
- Exposure to LLM APIs, AI services, or service-based integrations for content enhancement.
- Understanding of Digital Asset Management (DAM) principles including metadata, taxonomy, and content modeling.
- Basic knowledge of retrieval concepts such as RAG (Retrieval-Augmented Generation).
- Familiarity with REST APIs, JSON, and cloud/SaaS-based documentation environments.
- Strong analytical thinking, attention to detail, and ability to work across technical and content-focused teams.
Responsibilities
- Develop and maintain structured technical content using DITA/XML and modular authoring principles such as topics, maps, and content reuse strategies.
- Transform complex technical information into clear, reusable, and well-organized content components optimized for enterprise use.
- Manage full content lifecycle activities including versioning, publishing, updates, archival, and retirement within content platforms.
- Define and maintain metadata, taxonomy, and classification structures to enhance discoverability and governance across systems.
- Work with content management and publishing platforms (including AEM-based environments) for structured authoring and delivery workflows.
- Build Python-based automation scripts to optimize content processing, validation, tagging, and workflow efficiency.
- Integrate APIs and AI/LLM-based services to support advanced content operations such as summarization, retrieval, and enrichment.
- Support content migration and ingestion activities, ensuring structural and metadata consistency across systems.
- Ensure adherence to documentation standards, governance frameworks, and best practices for scalable content ecosystems.
- Optimize content for searchability, reuse, and intelligent retrieval within digital asset management environments.
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