Principal Engineer - Data leading a new data platform for payroll products at Datacom. Focused on modernizing data infrastructure with real - time pipelines and delivering analytics capabilities.
About the role
- Docs Engineering Lead at Anyscale managing documentation tooling and infrastructure for Anyscale product and Ray OSS. Collaborating with cross-functional teams to enhance the developer documentation experience.
Responsibilities
- End-to-end ownership of documentation tooling, build systems, and infrastructure for both Anyscale and Ray.
- Architecture and implementation of the front-end documentation experience, including dynamic elements, UI components, and contributor workflows.
- All developer-focused aspects of documentation hygiene: CLI/SDK reference generation, code example CI, versioning, testing, and automation pipelines.
- Contributor experience tooling that enables technical writers and engineers to work efficiently, accurately, and confidently.
- Documentation hosting, deployment strategy, CDN configuration, observability, analytics, and SEO fundamentals.
- Technical implementation of AI-augmented documentation tooling in collaboration with internal AI/ML and product teams.
- Build and maintain the full docs engineering stack using Python and JavaScript.
- Implement dynamic components, automated documentation workflows, and extensions for Docusaurus (Anyscale docs) and tooling improvements around Sphinx (Ray OSS docs).
Requirements
- Strong software engineering background with Python and JavaScript (both mandatory).
- Experience building or maintaining documentation platforms, content engineering systems, or developer-facing web properties.
- Familiarity with at least one major docs ecosystem: Docusaurus, Sphinx, MkDocs, Next.js/SSG, or similar.
- Experience with CI/CD, build pipelines, deployment automation, and versioning systems.
- Understanding of CDNs, caching strategy, hosting architectures, and doc site observability.
- Experience integrating analytics tools (Google Analytics, Search Console, Pendo, etc).
- Strong grasp of information architecture and UX considerations for technical audiences (DevOps, ML engineers, data engineers, data scientists).
- Ability to design contributor-friendly workflows and collaborate closely with technical writers.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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