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As a Software Engineer II in the Calendar team, you will design and build AI-powered scheduling systems by integrating backend services and Large Language Models (LLMs) with Application Programming Interfaces (APIs) and Outlook services. You will deliver modern Microsoft Calendar experiences across Monarch and Microsoft Teams, enabling intelligent coordination through Copilot and Places. Join Microsoft’s Time + Places organization, where we reimagine when, where, and how work happens. Our mission is to leverage cutting-edge Artificial Intelligence (AI) to reduce cognitive load and deliver agent-driven solutions that empower individuals and organizations in the hybrid work era. This role offers opportunities to work on AI-powered scheduling, asynchronous collaboration, and location-aware coordination. You will be part of a team that values craftsmanship, reliability, and user impact—building services that help people reclaim time, connect meaningfully, and achieve more together.
Job Responsibility:
Design and build scalable backend services that power artificial intelligence (AI)–driven scheduling agents supporting millions of daily users
Integrate large language models (LLMs) and machine learning (ML) models to deliver intelligent, context‑aware scheduling and coordination experiences
Stay current with emerging technologies and AI advancements to enable transformative Copilot experiences for calendar planning and hybrid work scenarios
Leverage Microsoft 365 (M365) Graph data, including personal and organizational time and location information, to power Copilot and agent‑based assistance
Collaborate with product managers, designers, and partner teams to define user requirements and deliver intelligent scheduling solutions
participate in design reviews, code reviews, and agile planning processes
Drive architectural decisions and engineering excellence to ensure reliability, performance, and security in alignment with Microsoft’s Secure Future Initiative (SFI)
Design and implement backend services for Microsoft Calendar experiences across Monarch and Microsoft Teams, integrating deeply with substrate application programming interfaces (APIs), Copilot, and Places
Contribute to planning and execution by identifying dependencies, creating design documents, breaking down larger work items into smaller tasks, and providing accurate estimations with minimal oversight
Act as a Designated Responsible Individual (DRI) to monitor systems, features, and services for degradation, downtime, or interruptions and lead restoration efforts for simple problems
Champion Microsoft culture and values in all aspects of design, collaboration, and delivery
Requirements:
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, Python or Azure
OR equivalent experience
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
Nice to have:
Master’s degree in Computer Science or related field AND 3+ years engineering experience, OR bachelor’s degree and 5+ years’ experience, OR equivalent experience, with coding proficiency in languages such as C, C++, C#, Java, JavaScript, Python, or Azure
Experience building cloud-native applications and services
Problem solving decomposition and presenting efficient solutions through scalable systems design and understanding of distributed systems, APIs, and telemetry
User experience, product craftsmanship, and solving real-world problems
5+ years of experience in software development using C#, .NET, TypeScript, or similar technologies
Experience using software development agents / assistants to co-develop
Experience with Microsoft Graph, M365 services, or workplace productivity tools
Familiarity with AI/ML concepts, especially in the context of Copilot or agent-based systems
Exposure to hybrid work scenarios, calendar systems, or workplace coordination platforms