Overview

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.

Responsibilities

• 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.

Qualifications Required:

• 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.

Other Requirements:

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.

Preferred:

• 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.

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Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.