Software Engineer
About The Position
Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. Customer Success Engineering (CSE) within the Commercial Engineering and AI (CEAI) organization builds and manages critical products and services that Microsoft runs on. We pursue big ideas that power transformational advances for Microsoft and its customers while helping teams work smarter, faster, and more securely every day. We are looking for Software Engineers who are passionate about building great software and continuously learning new technologies. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.
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.
Nice To Haves
- 3+ years of experience in software engineering, preferably in cloud-scale or AI-enhanced services.
- Proficiency in C#, Python, or JavaScript, and familiarity with cloud platforms like Azure or AWS.
- Experience designing and consuming REST APIs and working with relational and/or NoSQL data stores.
- Fundamentals in data structures, algorithms, distributed systems, and debugging.
- Experience with AI development tools and frameworks (e.g., OpenAI APIs, transformers, semantic search).
- Understanding of CI/CD pipelines, GitHub workflows, and infrastructure-as-code.
- Problem-solving, communication, and collaboration skills.
Responsibilities
- Design, build, and operate distributed services and microservices on Azure (App Service, AKS, Functions, Service Bus, Cosmos DB, Azure SQL) that power catalog, search, purchase, fulfillment, metering, and billing experiences.
- Own features end-to-end: requirements, design, implementation, testing, deployment, and live-site support.
- Integrate AI capabilities such as natural language processing, semantic search, and intelligent agents using frameworks like Azure OpenAI, Semantic Kernel, or equivalent.
- Drive performance, scalability, and cost-efficiency through telemetry, asynchronous I/O, and system profiling.
- Ensure robust data validation, schema enforcement, and compliance with privacy and security standards.
- Collaborate across disciplines to define technical requirements, review designs, and deliver high-quality software.
- Mentor junior engineers and promote engineering best practices across the team.
- Participate in an on-call rotation; investigate and resolve live-site incidents, and drive root-cause fixes that improve reliability.
- Contribute to our DevOps culture: CI/CD pipelines, automated testing, telemetry, and safe deployment practices.
- Written communication: design docs, postmortems, customer-facing release notes.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
