Software Engineering at Microsoft

AI-driven development & code quality: Leverages AI across the SDLC and leads high-quality coding practices, ensuring secure, scalable, maintainable code through strong reviews, testing, and best practices. Reliability & live-site excellence: Uses telemetry, debugging, and root cause analysis to proactively prevent issues, improve system health, and drive incident resolution as DRI. Architecture & design: Owns or review complex system design and architecture, balancing performance, scalability, cost, and trade-offs. Security, compliance & safe deployment: Ensures adherence to security, privacy, and compliance standards while driving automation, CI/CD, and safe, efficient deployments. Collaboration & continuous improvement: Partners cross-functionally to deliver end-to-end solutions, incorporates customer insights, and continuously improves systems, processes, and engineering outcomes. Bachelor's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field with proven experience 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.