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Software Engineer II

Job in Redmond, King County, Washington, 98073, USA
Listing for: Microsoft Corporation
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps, Backend Developer
Job Description & How to Apply Below
** Overview*
* 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 Global Skilling Prouduct 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 across platforms.

The mission of the Global Skilling Product Team- (GSPT)- 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.

As the  
** Software Engineer II** , you will serve as a hands-on engineer and technical authority, spearheading the design and implementation of sophisticated learning and skilling solutions that enhance our Microsoft Skilling platforms and Learning which aligns with the Strategic goals and key Objectives established by WWL to reach 100M+ learners helping Ignite our Base and Lead with Learning. We envision a world where all skilling content will be accessible across various platforms leveraging the latest AI-assisted features.

For instance, we will need to modernize skilling content operations and reimagine release at scale to enable more efficient ways of consumption across Learn, You Tube, Linked In, Instagram, and other platforms. We will share proficient practices with our customers to replicate in their own environments. In the future, we could potentially monetize these services through our learning partners.

If you enjoy working in a collaborative and agile environment where you can apply your technical skills and creativity into a security space and thrive on addressing real world problems, we are looking for you.

Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their highly qualified contributions each day. Join us and help shape the future of the world.

** Responsibilities*
* The  
** Software Engineer II
** are responsible for the following:

+ Design, develop and maintain engineering infrastructure, tools, and services that power the Continuous Integration and Continuous Delivery/Deployment (CI/CD) for Microsoft Learning (Skilling) platform and services.  

+ Develop software features for Skilling platforms, including requirement gathering, architecture, application and database design, development, testing, and deployment, while enforcing engineering proficient practices to ensure high-quality, scalable, and secure solutions. Leverage AI and develop Copilot features within the application to enhance user experience and productivity.

+  
** Site Reliability:
** Support and maintain existing services & integrations with Line of Business (LOB) applications across the enterprise.

+ Establish and enforce proficient practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability.

+ Improve the reliability and debuggability of test frameworks by integrating automation and gates. 

+ Develop and utilize AI/LLM models to analyze test failures, identifying root causes such as test flakiness or infrastructure issues. 

+ Transition manual testing efforts currently handled by vendor Directly Responsible Individuals (DRIs) into automated processes. 

+ Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).…
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