微软Sr. Software Engineer--M365 Foundation Team

工作描述

任职要求
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. 
• Proven experience leading design and delivery of complex cloud services, distributed systems, or large-scale platform capabilities.
• Solid proficiency in one or more programming languages such as C#, Java, Python, TypeScript, Go, or Rust.
• Experience with production service operations, telemetry, reliability engineering, incident analysis, and service quality improvements.
• Demonstrated ability to lead technical discussions, mentor engineers, and influence decisions across teams.
• Experience working with AI-assisted development, agentic workflows, automation frameworks, or intelligent engineering tools.
 Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:• Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
• OR equivalent experience. 

• Experience with large-scale configuration systems, experimentation platforms, feature rollout, policy enforcement, SDKs, or control-plane infrastructure.
• Experience leading cross-team initiatives involving service reliability, security, compliance, or platform modernization.
• Solid understanding of distributed systems design, scalability, fault tolerance, caching, service authentication, and observability.
• Experience building automation-first operational systems, self-healing workflows, or intelligent troubleshooting experiences.
• Ability to communicate complex technical issues clearly to engineering leaders, PMs, partner teams, and customers.
• Demonstrated record of improving engineering practices, driving technical excellence, and developing others.
• Familiarity with AI-native engineering practices such as harness engineering, loop engineering, evaluation systems, agent orchestration, or …