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Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity. As part of M365 Core Copilot Infrastructure, our team is driving one of Microsoft’s most transformative technology efforts: bringing large language models to every customer through the Microsoft 365 suite. We combine deep technical work with product-facing impact. We are proud of our collaborative culture and our track record of delivering results at scale. We are looking for a Software Engineer II to help us deliver the next generation of capabilities for the platform. You will be responsible for designing, developing, and delivering innovative and scalable software applications. You will work on coding, debugging, testing, and troubleshooting throughout the application development process. You will have the opportunity to work on challenging projects, collaborate with talented colleagues, and shape the future of technology at Microsoft. In this role, you will be expected to have a deep understanding of software development principles and be able to apply them to create high-quality software. You will work closely with other team members and partners to ensure that our software meets the needs of our platform users and is delivered on time and within budget. You will have the opportunity to grow your skills and take on new challenges within the company. Join us and help build the next generation of software applications.
Job Responsibility:
Owns and delivers scoped features and components in a large‑scale LLM API platform, developing a strong understanding of the relevant codepaths, service architecture, and operational behaviors needed to ship reliably.
Collaborates with product managers and senior engineers to understand user requirements and translate them into well‑scoped technical solutions for a defined set of scenarios or components.
Authors and contributes to design documents for features or components, identifying dependencies, risks, and trade‑offs, and incorporating feedback from more senior engineers.
Independently implements high‑quality, maintainable, and testable code for owned components or features, that meets production standards for high‑throughput distributed systems and participates in code reviews to raise overall quality.
Develops automation for safe deployment and operations, improving CI/CD, validation, and rollout mechanisms to reduce manual steps and support repeatable releases in production environments.
Applies security and privacy best practices in feature design and implementation
participates in threat modeling, security/privacy reviews and implementing AI safety requirements where applicable.
Leverages existing platform and cross‑team capabilities to deliver features efficiently, working with partner teams to align on integration points, timelines, and dependencies.
Participates in on‑call rotations and live‑site support, diagnosing issues, mitigating incidents, and escalating appropriately to ensure service availability and reliability.
Continuously grows technical depth and breadth by learning new technologies, tools, and patterns that improve service performance, reliability, observability, and operational excellence, and sharing knowledge within the team.
Uses AI tools in the development lifecycle, following Responsible AI principles and team guidelines, and contributing feedback to improve AI‑assisted engineering workflows.
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, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
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 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.
2+ years of experience designing distributed systems, near real-time (NRT) processing solutions, or Big Data platforms.
Experience working with large-scale distributed systems (e.g., cloud computing providers, SaaS services, etc., ideally with millions or billions of users) or similarly complex environments.
Awareness of, and ability to reason about, modern distributed software design patterns and cloud systems architecture, including microservices, containers, load-balancing, queuing, caching.
Experience in building, shipping and operating reliable solutions.