Microsoft is looking to develop enterprise-grade features for its Azure Full Stack development to enhance its Skilling platforms and Learning experiences, impacting millions of learners globally. The goal is to modernize skilling content operations, reimagine release at scale, and make skilling content accessible across various platforms with AI-assisted features.
Requirements
- 2+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures, micro-services and DevOps model.
- 2+ years of experience coding in C-Sharp,.Net and React.
- 2+ years of experience in building and deployment pipelines from scratch and using Infrastructure as Code (IaaC) templates such as Azure Resource Manger (ARM) templates or Bicep.
- 2+ years of experience in Database development in Azure SQL, Cosmos DB, or Azure Data Factory (ADF).
- Experience with Python, AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes.
- Experience in developing applications using RESTful APIs, microservices architecture, ASP.NET, and Azure AI Foundry, with focus on scalable and intelligent enterprise solutions.
- Knowledge of tools like Azure DevOps or similar CI/CD platforms for integrating and managing test gates.
Responsibilities
- 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.
Other
- Embody our culture and values
- Work across organizations and directly with partners both in WWL and across Microsoft including other engineers and product leaders.
- Drives identification of dependencies and the development of design documents for our security features.
- Communicates across teams and resolves conflicts between teams.
- Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, and Data Scientists.
