Senior Software Engineer - M365
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 15, 2026. Microsoft scores B on the Alion truth index.
Microsoft’s Observability & Intelligent Cloud team is reimagining how large-scale cloud services stay reliable in the AI era. We build intelligent platforms that help prevent incidents, detect failures earlier, accelerate diagnosis and mitigation, and reduce operational effort across Microsoft services.
Our work spans the full reliability lifecycle, from telemetry and anomaly detection to AI-powered diagnosis, intelligent automation, and operational experiences. We are also transforming how engineering and operations are done by embedding AI into everyday workflows, enabling engineers to investigate issues faster, automate repetitive tasks, and turn operational knowledge and data into actionable insights.
You will help build secure, scalable platforms that protect customers while advancing the use of AI across both our products and our engineering practices.
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.
Responsibilities
Own the design and delivery of major platform capabilities across observability, detection, AI-powered diagnosis and mitigation, operational experiences, and AI evaluation.
Lead architecture and implementation of scalable, secure, observable, and maintainable services that support Microsoft-scale live-site operations.
Build AI-powered diagnosis capabilities that reason across telemetry, incidents, service knowledge, and operational context to accelerate root-cause identification and guide mitigation.
Develop intelligent automation for incident investigation, troubleshooting, alert correlation, mitigation, and operational decision-making, while maintaining appropriate safety and human oversight.
Drive AI transformation in day-to-day engineering, using AI to improve debugging, incident investigation, development, testing, operational analysis, and engineering productivity.
Identify opportunities to convert repetitive operational work and expert knowledge into reusable AI-assisted workflows, agents, and automation.
Collaborate with product, engineering, and reliability teams to identify high-impact customer and operational problems and translate them into durable platform solutions.
Use incident data, service-health signals, and AI evaluation results to prioritize investments and demonstrate measurable improvements in reliability, diagnosis effectiveness, and engineering efficiency.
Mentor engineers through architecture and design reviews, debugging, operational readiness, and effective adoption of AI-assisted engineering practices.
Improve platform adoption through reusable frameworks, APIs, playbooks, onboarding experiences, and self-service capabilities.
Help shape the long-term technical strategy for AI-powered operations, agentic diagnosis, closed-loop service protection, safe automation, and operational excellence.
Qualifications
Required Qualifications:
- 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 Qualifications:
- 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.
- Solid experience designing, building, and operating distributed systems, cloud services, or large-scale backend platforms.
- Solid technical depth in service architecture, reliability, debugging, performance, security, and operational excellence.
- Experience applying AI, machine learning, LLMs, agents, or AI-assisted automation to solve engineering or operational problems. Deep ML research expertise is not required.
- Demonstrated ability to use AI effectively in everyday engineering workflows, such as software development, debugging, troubleshooting, data analysis, incident investigation, or automation.
- Ability to reason across complex signals, telemetry, logs, dependencies, and operational context to diagnose problems and design scalable solutions.
- Proven ability to lead ambiguous technical work from problem framing through architecture, implementation, deployment, evaluation, and production operation.
- Solid cross-team collaboration and communication skills, with the ability to influence technical direction and explain complex concepts clearly to engineering, product, and leadership stakeholders.
- A growth mindset toward AI transformation, with the ability to identify where AI can fundamentally improve existing engineering and operational processes rather than simply automate individual tasks.
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.