The role is for a senior software engineer within the Commercial Engineering & AI (CEAI) team at Microsoft, focusing on transforming the commercial business through AI and modern engineering practices. The team aims to create intelligent systems that enhance operational efficiency and empower employees to perform meaningful work. Candidates will be responsible for designing and operating distributed services on Azure, integrating AI capabilities, and ensuring high-quality software delivery. This position emphasizes collaboration, mentorship, and contributions to a DevOps culture.

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• 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.
• Solid fundamentals in data structures, algorithms, distributed systems, and debugging.
• Experience with AI development tools and frameworks such as OpenAI APIs, transformers, and semantic search.
• Strong understanding of CI/CD pipelines, GitHub workflows, and infrastructure-as-code.
• Excellent problem-solving, communication, and collaboration skills.
• Demonstrated ability to lead design efforts and deliver production-grade solutions.
• Experience building or operating large-scale cloud services on Azure or another major cloud.
• Familiarity with commerce, billing, or marketplace/storefront systems.
• Experience with Kubernetes, event-driven architectures, or high-throughput data pipelines.
• Experience building LLM-powered applications, RAG pipelines, prompt engineering, agent frameworks, or fine-tuning.
• Strong written communication skills for design docs, postmortems, and customer-facing release notes.
• Contributions to live-site/SRE practices including monitoring, alerting, and incident response.

• Design, build, and operate distributed services and microservices on Azure that power catalog, search, purchase, fulfillment, metering, and billing experiences.
• Own significant features and subsystems end to end including requirements, design, implementation, testing, deployment, and live site support.
• Drive architectural decisions across platform capabilities such as offer publishing, catalog, search, purchase, fulfillment, metering, and billing.
• Integrate AI capabilities such as natural language processing, semantic search, and intelligent agents using frameworks like Azure OpenAI.
• 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 engineers across the team, lead technical design reviews, and raise the engineering bar on quality, reliability, and responsible AI practices.
• 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 including CI/CD pipelines, automated testing, telemetry, and safe deployment practices.

• 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.