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Are you passionate about building scalable cloud services and applying AI to solve real-world problems? We are looking for a Senior Software Engineer (Technical Lead) to design and deliver cloud-native services using Microsoft technologies, and to help shape how AI improves both our customer experience and internal engineering operations. In this role, you'll provide hands-on technical leadership, turning ambiguous problem areas into clear designs, high-quality implementations, and measurable reliability improvements. This is a high-impact opportunity to work across teams, influence technical direction, and lead initiatives end-to-end as a senior individual contributor. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Job Responsibility:
Lead the design and development of scalable, secure, and reliable services using C#, .NET, and Azure
Own key architectural decisions and drive technical strategy through design reviews, technical proposals, and hands-on prototypes
Partner with support and operations to identify customer-impacting issues, clarify requirements, and translate operational pain points into engineering work
Analyze incidents and trends to identify root causes, drive post-incident learnings, and deliver durable fixes that reduce recurrence
Build automation and self-service capabilities (tooling, diagnostics, guardrails) to reduce operational overhead
Design and implement AI-powered capabilities (e.g., copilots, LLM integrations, and agent-based workflows) with appropriate evaluation, safety, and monitoring
Collaborate across engineering, product, and business teams to deliver end-to-end solutions and align on tradeoffs
Mentor engineers, raise engineering standards (quality, reliability, security), and foster a culture of learning and inclusion
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
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 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of software engineering experience
Solid experience with:C#, .NET / .NET Core
Azure (cloud-native services, DevOps, monitoring)
Experience designing and operating distributed systems at scale
Experience working with production systems, including incident management and troubleshooting
Proven ability to collaborate effectively with support and operations teams
Solid problem-solving, communication, and stakeholder management skills
Exposure to modern AI technologies and a curiosity to apply them in practical scenarios
Experience building or integrating AI agents (copilots, task automation, multi-step workflows)
Familiarity with emerging standards such as Model Context Protocol (MCP) or similar frameworks for tool/agent orchestration
Experience connecting LLMs with enterprise systems, APIs, and data sources
Experience with Power Platform (Power Apps, Power Automate) & Logic apps
Experience reducing operational load through automation or platform improvements
Prior experience mentoring engineers or leading technical initiatives
Experience building or integrating AI agents (copilots, task automation, multi-step workflows)
Familiarity with emerging standards such as Model Context Protocol (MCP) or similar frameworks for tool/agent orchestration
Experience connecting LLMs with enterprise systems, APIs, and data sources
Experience with Power Platform (Power Apps, Power Automate) & Logic apps
Experience reducing operational load through automation or platform improvements
Prior experience mentoring engineers or leading technical initiatives