Microsoft Senior Software Engineer- Mobile Devops 

India, Karnataka, Bengaluru 

134750137

• a savvy group of generalizing specialists; we blend years of software engineeringexpertisewith some of the newest and most popular tools, frameworks, and methodologies to empower an entire organization to build great software.
• We are full stack engineer,leveragingwide range of technologies from C#.Net, Python, Azure OpenAI / ChatGPT, to React JS to implement backend/frontend systems
• We pride ourselves in building smart systems and tools which make our fellow engineers more productive every day and enable them to ship high quality code to our customers continuously.
• We use Teams to ship Teams. Our tools are integrated into the Microsoft Teams itself.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Proficiencyin writing unit tests and functional tests using tools such as Espresso for Android or equivalent tools for iOS.
• 1+ years of Android/iOS development experience.
• Experience developing andmaintainingengineering infrastructure tools/bots.
• Working knowledge of tools like Azure DevOps or similar CI/CD platforms for integrating and managing test gates.

Preferred Qualifications:

• Excellent problem-solving & debugging skills.
• 7+ years of coding experience in an object-oriented programming language, with knowledge of Python, Java, Swift, Kotlin.
• Familiarity with AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes.
• Understanding of mobile build systems and their optimization.

• Design, develop andmaintainengineering infrastructure, tools, and services that power the CI/CD for Microsoft Teams across different Mobile clients/stores.
• Refactor and improve the structure of the Android/iOS codebase to better support automation, testing scalability, and maintainability.
• Design and enhance test stubbing frameworks to support robust and reliable testing practices.
• Improve the reliability and debuggability of test frameworks by integrating automation and gates.
• Develop andutilizeAI/LLM models to analyze test failures,identifyingroot causes such as test flakiness or infrastructure issues.
• Transition manual testing efforts currently handled by vendor DRIs into automated processes.
• Embody our culture and values.