Software Engineer II - CoreAI

Microsoft • Redmond, WA

22h

About The Position

Are you passionate about building high-performance, low-latency systems that power mission-critical workloads? The Azure Dev Services team delivers a suite of fully managed Azure services including Azure App Configuration, Azure Managed Grafana, Azure Managed Redis, and Azure Diagnostics that help developers build, monitor, and scale modern cloud applications with confidence.
As a Software Engineer II on the Azure Dev Services team, you’ll take ownership of key product areas, collaborate across Azure, and help shape the future of developer infrastructure and observability. This opportunity will allow you to deepen your distributed systems expertise, work with cutting-edge AI technologies, and grow your impact across Azure.
This role is part of a dynamic and collaborative team in the Developer Division under the CoreAI business group.

Requirements

• 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.
• 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.

Nice To Haves

• Master'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 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.
• 1+ years of proficiency with AI-assisted development tools (e.g., GitHub Copilot, IntelliCode).
• Experience with cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• Experience with .NET is a plus.
• Experience developing, deploying, or integrating AI-powered solutions in production environments.
• Experience building or integrating AI applications using technologies such as LLMs, Model Context Protocol (MCP) servers, or RAG pipelines.
• Working knowledge of web and cloud technologies, including containers, microservices, and CI/CD pipelines.
• Familiarity with distributed systems, cloud-native architectures, or managed cloud services.

Responsibilities

• Own and operate highly scalable, reliable, and low-latency distributed systems that power mission-critical workloads.
• Design and implement features that enable configuration management, monitoring, analytics, and observability for modern cloud applications.
• Drive integration with other Azure services to deliver seamless customer experiences.
• Write high-quality, well-tested code and own the DevOps lifecycle, including monitoring, alerting, and incident response.
• Integrate AI-assisted development tools to improve engineering productivity and code quality.
• Contribute to AI-enhanced features using technologies such as Large Language Models (LLMs), Model Context Protocol (MCP) servers, and Retrieval-Augmented Generation (RAG).
• Mentor others and share knowledge to improve team capabilities and engineering practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level