About The Position

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit of thinking in a cloud-enabled world. Within Learn Product Engineering Team, we are seeking a self-motivated, technically acumen Software Engineer for Azure Full Stack development to develop enterprise-grade features impacting millions of learners around the world who rely on Microsoft Skilling platforms for consuming the learning and skilling content across various platforms. The mission of Learning Product Team in Worldwide Learning (WWL) is to develop world-class, innovative Skilling Products & Experiences that inspire customers, partners, MCAPS sellers, and future generations to achieve more by skilling, upskilling, and reskilling, thereby reaching 100M+ learners. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their full potential each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Requirements

  • Experience in full-stack software development.
  • Strong technical acumen in Azure infrastructure.
  • Ability to work in a collaborative and agile environment.
  • Proficiency in applying technical skills to address real-world problems.

Nice To Haves

  • Experience with AI-assisted features.
  • Familiarity with skilling and learning platforms.

Responsibilities

  • Serve as a hands-on engineer and technical authority.
  • Spearhead the design and implementation of sophisticated learning and skilling solutions.
  • Enhance Microsoft Skilling platforms and Learning to align with strategic goals.
  • Modernize skilling content operations and reimagine release at scale.
  • Enable more efficient ways of consumption across Learn, YouTube, LinkedIn, Instagram, and other platforms.
  • Share proficient practices with customers to replicate in their own environments.
  • Potentially monetize services through learning partners.
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