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Описание вакансии
Текст:
TL;DR
Technical Writer II (Cybersecurity): Developing and maintaining user-centered documentation for LogScale data ingestion, egress, and deployment automation with an accent on structured authoring, API documentation, and large-scale distributed systems. Focus on translating complex engineering concepts into actionable multi-channel content, improving documentation workflows with automation and AI, and ensuring consistency across the product documentation ecosystem.
Location: United Kingdom - London
Company
CrowdStrike is a cybersecurity company providing an AI-native platform that protects organizations from breaches and processes large-scale security data.
What you will do
- Own the documentation strategy, priorities, and quality for a defined LogScale content area.
- Develop and maintain user-centered product documentation covering data ingestion, egress, and deployment automation.
- Translate complex engineering concepts from a distributed, multi-petabyte software platform into clear, actionable content.
- Apply structured authoring and information architecture principles to improve content reuse and consistency across channels.
- Build and improve documentation workflow tools and refine generative AI prompts for content production.
- Collaborate with developers, architects, and product managers to ensure documentation accurately reflects product behavior and customer impact.
Requirements
- Proven experience writing user-centered product documentation for software products.
- Proficiency with structured authoring technologies, including DocBook, DITA, and XSLT.
- Strong working knowledge of API documentation, particularly GraphQL and REST.
- Experience with Git or Mercurial, including branching, merging, and command-line version control in Bash or Zsh.
- Familiarity with SaaS deployments, especially large-scale or highly automated environments.
- Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Nice to have
- Experience in cybersecurity or large-scale data industries.
- Programming knowledge in Java, Scala, JavaScript, Perl, or Python.
- Understanding of databases, distributed systems, SQL, or GraphQL.
- Familiarity with machine learning concepts and large language models.
- Interest in automation and simplifying the path from engineering output to user-ready documentation.
Culture & Benefits
- Flexible and autonomous working culture with an emphasis on responsible AI adoption, experimentation, and innovation.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays, plus paid parental and adoption leave.
- Professional development opportunities for employees at every level.
- Employee networks, geographic neighborhood groups, volunteer opportunities, and office amenities.
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