Job Description & Responsibilities

10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
Experience delivering enterprise AI, or GenAI solutions into production environments.
Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components
Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
Strong Python development skills.
Experience building REST APIs, microservices and implementing cloud-native applications.
Strong understanding of software architecture principles and design patterns.
Experience building containerized applications using Docker and Kubernetes technologies.
BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

Cloud Engineering

Job Description & Responsibilities