Solid understanding of software development concepts (version control, APIs, SDKs, command-line tools, scripting).
Familiarity with Microsoft Learn (learn.microsoft.com), docs.microsoft.com, or similar large-scale documentation platforms.
Bachelor's degree in Computer Science, Technical Communication, English, Information Science, or a related field—OR equivalent practical experience.
4+ years of experience in technical content development, technical writing, or content program management for software or cloud products.
2+ years of experience with docs-as-code tools and workflows: Markdown, Git/GitHub, pull request-based collaboration, and CI/CD publishing pipelines.
Experience with content management at scale: information architecture, metadata/taxonomy, localization, and content reuse strategies.
Strong program/project management skills: ability to manage multiple workstreams, prioritize effectively, and deliver on schedule.
Demonstrated experience using Visual Studio Code (or comparable code editors) as a primary authoring environment.
Excellent written and verbal communication skills with the ability to distill complex technical topics for developer audiences.

Senior Mechanical Engineer - Data Centers

LVI Associates

New York, NY 10261

Project Manager - Development

Camber Property Group

New York, NY 10261

Capital One

New York, NY 10012

Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience utilizing relational databases
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
At least 1 year of experience working with machine learning