Overview

We are currently seeking a Technical Writer who can join our team. This is a remote position and can be based out of any location globally.

Responsibilities

  • You enjoy learning and collaborating with Marketing, Developer Relations, Software Engineers, and Customer Success teams to scope and define content projects.
  • You write concise, easy-to-understand content and documentation that simplifies complex technical concepts into content consumable by all skill levels and roles.
  • You will use your writing and technical skills to write clear and consistent documentation, technical blogs, and tutorials on high-complexity features.
  • You review and edit documentation drafts contributed by peers.
  • You contribute to and lead strategic content initiatives to enhance current content inventory and future content creation.
  • You will write for experienced users and those new to Dgraph. Your work will support a global community of Dgraph users.

Qualifications

  • 3+ years of technical writing experience in the software industry.
  • Experience writing technical documentation for developers from scratch to finish
  • Strong critical reading and writing fundamentals
  • Experience with database technologies (NoSQL, RDBMS, Graph Database) or data warehouse technologies
  • A technical background or a strong knack for learning technical concepts and tools.

Started by ex-Google engineers, Dgraph Labs is a San Francisco based startup with team members and offices all over the globe. Together, we are building the next-generation database that is powerful yet easy to use. With over 13,000 GitHub stars and more than 2 million Docker pulls, Dgraph is the most popular open-source graph database in the market. Our customers range from global Fortune 500 companies to emerging startups. Dgraph’s goal is to provide Google-production level scale and throughput, with low enough latency to serve real-time user queries over terabytes of structured data. Our database can power applications ranging from fraud detection, real-time recommendations, master data management, machine learning and many more. We are well-funded, with lead investors from Redpoint and Bain Capital.