We are seeking a Technical Writer with strong organizational ability to structure our technical knowledge, clean up our existing Confluence knowledge base, and establish a docs-as-code practice (Bitbucket source, Confluence frontend). You will drive AI adoption in documentation workflows, implementing it from content generation and automation to reviews. Ensuring all implementations comply with internal security, data, and quality policies, and all permutations are clear.
Key Responsibilities:
- Lead the audit and cleanup of our Confluence knowledge base: consolidate duplicates, archive outdated content, and ensure relevance through ongoing governance.
- Build and maintain technical documentation for products, processes, architecture, and workflows, collaborating with engineering and operations.
- Design Confluence information architecture (spaces, hierarchies, labels) for scalability and ease of use.
- Implement docs-as-code from scratch: Markdown/AsciiDoc in Bitbucket repos with Git workflows and CI/CD publishing to Confluence.
- Drive AI enablement in documentation processes, including AI-assisted drafting, summarization, automated audits, and workflow automation — all fully compliant with internal policies on data privacy, security, and content accuracy.
- Document complex workflows clearly for diverse audiences, using visuals like diagrams and flowcharts.
- Establish standards (style guides, templates, reviews) and train teams on tools, processes, and AI best practices.