Software Engineer II - Observability (CoreAI)

Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

The Observability group is seeking a Software Engineer II - Observability (CoreAI). The team is focused on developing solutions to monitor, evaluate, and optimize AI agent performance. We are seeking a passionate and skilled software engineer to join the Observability platform team . This team is responsible for building the services that power Observability in Foundry.

Responsibilities:

• Design, implement and deliver AI services to supportproductofferingsforlarge-scale agent observability

• Collaborate closely with product management and partner teams to align technical direction with business goals

• Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team's DevOps culture

• Engage with customers to gather feedback and resolve complex issues

• Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers

• Innovate on technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products.

• Embody our culture and values

Qualifications:

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years technical engineering experience designing and delivering highly available , large-scale cloud services and distributed systems.
• 1 + years of technical engineering experience with machine learning or AI systems

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:

• 2 + years of technical engineering experience with coding in languages including, but not limited to, C++, C#, Go, Java, or Python

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br>
Microsoft will accept applications for the role until November 17, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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