Senior Software Engineer

Microsoft•Redmond, WA

16h

About The Position

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. We’re an incubation team within Microsoft Copilot Studio building something fundamentally new: AI agents that can operate as teammates in the enterprise - agents that can take on multi‑step work, operate across contexts, retain memory, and handle novel problems with minimal supervision. These agents collaborate with users across Microsoft 365—participating in conversations, coordinating in Teams, documents, and acting across productivity tools—reliably enough that enterprises can trust them with real responsibilities as part of the working team. This is greenfield platform work at the intersection of distributed systems, applied AI, and user experience. As a Senior Software Engineer, you will help define how autonomous agents operate within enterprise environments and shape the architecture that enables them to run reliably at scale. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

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.
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 Haves

Master's Degree in Computer Science or a related technical field AND 8+ years of technical engineering experience, including coding in one or more of the following languages: C, C++, C#, Java, JavaScript, or Python.
OR Bachelor's Degree in Computer Science or a related technical field AND 10+ years of equivalent technical engineering experience.
OR equivalent experience.
Experience designing, building, or operating services on Azure or other large‑scale cloud platforms.
Experience with building UX for SAS services.
Experience building Agentic systems and building Generative AI experiences.

Responsibilities

Lead the design and delivery of scalable, secure, and highly reliable platform capabilities that power Digital Workers within Copilot Studio.
Contribute to end‑to‑end system design by partnering with cross‑functional teams to deliver agentic experiences spanning Azure, Microsoft 365, and the Power Platform.
Drive high‑quality technical execution across the Digital Worker platform by influencing architecture decisions and participating in design reviews across component boundaries.
Collaborate with Product Management and engineering leadership to translate emerging Digital Worker scenarios into robust platform capabilities aligned with customer needs.
Champion engineering excellence across CI/CD, reliability, observability, and live‑site operations to ensure production‑ready agentic services at enterprise scale.
Mentor peers within the team by sharing best practices in system design, operational rigor, and responsible AI engineering patterns.

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