The Senior Software Engineer role at Microsoft focuses on leveraging artificial intelligence tools throughout the software development lifecycle to deliver high-quality solutions. The Finance Data & Experiences (FD&E) organization aims to redefine how Microsoft measures and optimizes its global business. The ideal candidate will thrive in a fast-paced environment, taking ownership of complex problems and driving innovation. This position involves collaboration across various teams to implement AI-driven business excellence.

• 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.
• 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 designing and building distributed systems or data platforms using modern programming languages and cloud-based data across major cloud platforms.
• Experience developing and implementing AI-enabled solutions using tools such as Azure OpenAI, Cognitive Services, and machine learning models.

• Design, develop and own scalable, distributed systems and data-powered solutions leveraging modern cloud platforms and AI capabilities.
• Lead architecture discussions and design decisions, validating hypotheses and ensuring solutions meet requirements for performance, reliability, security, and scalability.
• Build and maintain high-quality, extensible, and secure code while applying engineering best practices across the software development lifecycle.
• Collaborate across teams to identify dependencies, ensuring AI-enabled solutions work end to end with optimal performance, reliability, and security.
• Drive automation of development, testing, and deployment processes to improve efficiency, reliability, and operational excellence.
• Implement and uphold security, compliance, and AI safety standards, including defining telemetry, monitoring, and safeguards for production systems.
• Leverage and promote AI-enabled development practices, continuously improving engineering productivity and mentoring peers.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.