Senior Service Engineer

** 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, Dev Ops, 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.

+…