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Hazelcast is looking for a Documentation Engineer to reimagine how we create, deliver, and maintain technical documentation. This is not a traditional technical writing role. We want someone who can build an AI-augmented documentation practice from the ground up—rethinking toolchains, workflows, and information architecture to produce better docs with a leaner team.
Job Responsibility:
Own Documentation Strategy & Architecture
Build AI-Augmented Documentation Workflows
Write, Edit, and Ship Great Documentation
Modernize Tooling & Infrastructure
Champion Documentation Culture
Requirements:
7+ years of experience in technical writing, documentation engineering, or a related role in software development environments
Demonstrated experience using AI/LLM tools to improve documentation workflows—not just experimentation, but production-level integration that delivered measurable results
Strong docs-as-code skills: proficiency with markup languages (Markdown, AsciiDoc), static site generators, and Git-based publishing workflows
Proven ability to define and execute documentation strategy independently—you’ve set direction, not just followed it
Excellent technical aptitude: you can read code, understand distributed systems concepts, and translate complex technical ideas into clear, usable content
Impeccable writing and editing skills with a user-centered approach to content design
Experience working effectively in fully remote, distributed teams across time zones
Strong collaboration skills—you know how to build relationships with engineers, PMs, and stakeholders and get the information you need
Nice to have:
Experience with distributed systems, data infrastructure, or real-time processing platforms
Hands-on programming skills (Python, JavaScript, or Java) sufficient to build tooling, automation, or prototypes
Experience with Antora, Netlify, or GitHub Actions for documentation deployment
Background in developer experience, developer advocacy, or developer education
Experience evaluating and selecting documentation platforms or building custom publishing pipelines
Contributions to open source documentation or communities
Familiarity with Hazelcast products or similar in-memory computing / stream processing platforms