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 practice

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.
• Good understanding of cloud platforms such as Azure, AWS, or GCP.P
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, IntelliCode).