Job Description:
Top 2 things looking when reviewing resumes:
- Azure Experience (Azure App Services, Azure AI Search, Azure SQL DB, ETC.)
- Python (App Function)
Key Responsibilities:
Implement and manage cloud-based solutions on Microsoft Azure, with a focus on Azure App Services and Azure SQL Databases
Design, develop, and maintain scalable and efficient web applications using Python, React, and NodeJS.
Implement and manage data pipelines for document ingestion, chunking, enrichment, embedding, and indexing.
Configure and optimize Azure AI Search for efficient retrieval and vector search capabilities.
Develop and maintain APIs for orchestrating RAG workflows using tools like Azure Machine Learning, Semantic Kernel, or LangChain.
Ensure the performance, quality, and responsiveness of applications.
Ensure the security and scalability of the RAG platform by leveraging Azure's identity and access management services.
Collaborate with cross-functional teams to define, design, and ship new features.
Participate in code reviews and provide constructive feedback to team members.
Develop and maintain CI/CD pipelines using Azure DevOps.
Implement Infrastructure as Code (IaC) using Terraform to automate cloud infrastructure provisioning and management.
Troubleshoot and resolve software defects and issues.
Monitor and troubleshoot the RAG application to ensure high availability and performance.
Stay up-to-date with emerging technologies and industry trends.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience as a Full-Stack Developer or similar role.
Strong proficiency in Python and front-end development using React and NodeJS.
In-depth knowledge of Azure cloud architecture, including Azure App Services and Azure SQL Database.
Strong knowledge of Azure services, including Azure AI Search, Azure Machine Learning, and Azure OpenAI.
Experience with data pipeline tools and techniques for document processing and enrichment.
Experience with the software development lifecycle and DevOps practices.
Proficiency in using Azure DevOps for version control and CI/CD pipelines.
Experience with Infrastructure as Code (IaC) tools, particularly Terraform.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork skills.
Experience with Generative AI.
Familiarity with API development and orchestration tools like Azure Functions, Logic Apps, or similar.
Understanding of security best practices in the Azure environment.
Preferred Qualifications:
Experience with Retrieval-Augmented Generation (RAG) solutions.
Knowledge of vector search and embedding models.
Certification in Azure AI or related fields.
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