• 5+ years of experience in researching, planning, writing, and editing documentation for software products
• Experience working with a "Docs as Code" workflow
• Experience leading content initiatives and working with cross-functional teams
• Previous technical writing experience for developers, IT operations, and DevOps audiences
• A team-player with experience working well remotely within geographically distributed teams
• Excellent content planning and organization skills
• Excellent written and verbal English language skills
• Ability to quickly learn complex concepts and technologies and clearly explain them to others within the target audience’s context
• A good understanding of programming concepts, preferably with Go and/or Python
• Experience with creating documentation in an Agile development environment
• Experience with a version control system such as Git, SVN, CVS
• Experience with authoring and publishing tools like Markdown, HTML, CSS

Desirable

• The Developer Experience group at Docker is looking for a Technical Writer to help developers and development teams build, share, and run applications in a fast-moving landscape
• In this role, you’ll be responsible for writing and refining product documentation that’s accurate and effective. As a Technical Writer, you’ll have the opportunity to work in a fast-paced, creative environment to produce world-class product documentation
• Write accurate, well-organized, consistent, and highly effective content for new and updated features
• Collaborate with engineers, UX, product managers, and other technical writers to continuously improve Docker documentation
• Independently research, plan, lead, and deliver content initiatives
• Work with the UX team to create and review in-product UI text and error messages
• Use the product, test each procedure and workflow, become an expert user, and provide feedback to the product development teams
• Collaborate cross-functionally to align product documentation with other forms of customer-enablement content
• Help lead documentation process improvements
• Monitor and address feedback received from the community through various channels such as Slack, Docs GitHub repository, etc
• Actively participate in agile development team meetings and represent the interests of the product documentation team and Docker customers through user feedback and analytics
• What to expect in the first 30 days
• Being a fully remote workplace, Docker has a focus on keeping teams connected. Your first two weeks will include 1:1 sessions intended to introduce you to your team and others with whom you will interact frequently
• Expect to spend time on other onboarding activities like IT setup, navigating productivity tools, and getting familiar with your regular calendar cadence
• Become familiar with Docker’s values and goals, our leadership, your team, your tools, and where to go for information - everything you need to be effective in your role
• Build an understanding of the “Docs-as-Code” workflow at Docker
• By the end of your first month, you are comfortable opening pull requests in the Docker Docs GitHub repository
• What to expect in the first 90 days
• In your first three months, you’ll have developed a good relationship with your team, and an understanding of the Docker ecosystem
• Actively engage with stakeholders in Engineering, PM, UX, Marketing, and Support, and work collaboratively on strategic initiatives
• Gain a deep understanding of the product you are working on, delivering content which meets the quality standards
• Comfortable handling ad-hoc requests and are able to prioritize the tasks and ensure content is delivered on time
• What to expect in the first year
• Within your first year, you’ll have made significant contributions to the product you are working on
• Establish strong relationships with the Docs team and stakeholders in Engineering, PM, UX, Marketing, and Support
• Work with your manager to create a Career Development Plan that will outline your trajectory beyond your first year
• Demonstrate the use of analytics to make data-driven decisions
• Gain a deep understanding of our customers goals, their workloads, and their use cases