Sr. Technical Writer
DataDirect Networks View all jobs
- Pune, Maharashtra
- Permanent
- Full-time
- Write clear, concise, and technically accurate documentation across a range of formats: software and hardware procedures, release notes, runbooks, API references, architecture diagrams, product walkthroughs, and more.
- Document advanced AI/ML architectures, agent-based user experiences, and complex support escalation workflows.
- Test documentation against the actual product to ensure accuracy.
- Partner with engineering and product teams to understand and communicate the “why” and “how” behind product decisions and system behavior.
- Embed with cross-functional teams across AI, infrastructure, support, and design to gather technical insights and ensure content accuracy.
- Leverage AI tools (e.g., LLMs, summarizers, prompt optimizers, diagram generators) to accelerate drafting, formatting, and validation.
- Help define prompt libraries and documentation around agent behavior, user queries, and explainability features.
- Collaborate on content for AI-driven interfaces, including tooltips, agent responses, and guided interaction flows.
- 5+ years in technical writing, product documentation, or technical communication for enterprise software, AI systems, or infrastructure platforms.
- Ability to distill complex systems (distributed storage, ML pipelines, LLM agents, etc.) into readable and structured content.
- Experience collaborating directly with engineering, product, and design leadership on high-impact strategic initiatives.
- Exceptional written English and communication skills, including visual structuring (tables, diagrams, workflows).
- Comfortable using and documenting AI/ML technologies, cloud-native architectures, and developer-facing APIs or SDKs.
- Understanding of information architecture, design, and UX principles for clear, user-friendly documentation
- Proficiency in using one or more documentation tools like docs as code, FrameMaker, Madcap Flare, Paligo, DITA, etc.
- Familiarity with AI/ML workflows, MLOps platforms, or GenAI ecosystems (e.g., OpenAI, LangChain, Hugging Face).
- Proficiency in using docs as code toolchains, especially Fern, Mintlify, Docusaurus or another React or MDX-based site generator, including CI/CD for docs and AI-enhanced authoring assistants.
- Knowledge of Linux, networking, or storage hardware.
- Exposure to insight delivery platforms, observability tools, or natural language-driven user interfaces.