testing), Kubernetes), Modern software development practices (Git, Natural Language Processing (NLP) techniques, Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs) and their APIs, Container technologies (Docker, Prompt engineering and LLM optimization techniques, CI/CD, Vector databases and embedding models, Development frameworks and tools, Semantic search and information retrieval concepts, Agent alignment and safety considerations

Azure Site Recovery (ASR), Infrastructure as Code (IaC), PowerShell, Bash, ARM templates, Terraform, Microsoft Azure, Python, Azure DevOps, Azure Migrate, Compliance automation, Azure AI Foundry, GitHub Actions, Azure Landing Zone Hub Spoke architecture, CI/CD pipelines, AI model deployment, Bicep, Security scanning, Automated deployment testing, Azure SQL Managed Instance

Microservices, Java, Testing, Kubernetes, Docker, Git, async programming, RAG pipelines, Crew.ai, cloud-native architecture, knowledge retrieval systems, embedding models, vector databases, RAG systems, LLM optimization techniques, LangChain, Autogen, prompt engineering, advanced Python programming