The Azure Dev Services team is seeking a Software Engineer II who is passionate about building high-performance, low-latency systems for mission-critical workloads. This role involves taking ownership of key product areas and collaborating across Azure to enhance developer infrastructure and observability. The position offers the opportunity to deepen expertise in distributed systems and work with cutting-edge AI technologies. The team operates within the Developer Division under the CoreAI business group.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• 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.

• 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.