Role intent Live

Software Engineer II

Microsoft

Work Mode

Onsite

Employment Type

FULL TIME

Location

India, Karnataka, Bangalore

Application Deadline

August 15, 2026

Embody our culture and values.

Responsibilities

Build tools/bots and leverage AI to improve developer productivity, contribute ideas to continuously improve our systems, and drive actionable code and product quality feedback. Build tools/bots to improve developer productivity, contribute ideas to continuously improve our systems, and drive actionable code and product quality feedback. Collaborate with key stakeholders to develop overall product vision as well as strategies on how to realize the vision by identifying technical challenges & proposing solutions.

Required Qualifications

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Proficiency in 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 and maintaining engineering infrastructure tools/bots. Working knowledge of tools like Azure DevOps or similar CI/CD platforms for integrating and managing test gates. Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Excellent problem-solving & debugging skills. 4+ 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.

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