Consultant

Job Description - The Senior Azure Developer & Integration Specialist will play a pivotal role in designing, developing, and implementing robust solutions on the Microsoft Azure platform. This role requires extensive experience in Azure development, a strong understanding of Generative AI principles and applications, and proven expertise in migrating integration solutions from Mule ESB to Azure-native services. The ideal candidate will lead technical discussions, mentor junior team members, and ensure the delivery of high-quality, scalable, and secure Azure solutions. Data modeling and ETL pipeline development. Experience with metadata management and search indexing. Responsibilities : Build and maintain the API metadata knowledge base. Develop data pipelines for ingesting, transforming Azure Development: Design, develop, and deploy scalable and secure applications and services on Azure using various Azure services (e.g., Azure Functions, Logic Apps, Service Bus, Event Hub, Cosmos DB, SQL Database, Azure Kubernetes Service). Implement and maintain CI/CD pipelines using Azure DevOps for automated build, test, and deployment. Optimize Azure resources for performance, cost, and security. Generative AI Solutions: Design, develop, and integrate Generative AI solutions using Azure OpenAI, Azure Machine Learning, and other relevant AI services. Implement prompt engineering, RAG architectures, and agentic AI patterns. Evaluate and optimize LLMs for specific use cases. Mule ESB to Azure Migration: Lead the assessment, planning, and execution of migration strategies for existing integration solutions from Mule ESB to Azure-native integration services (e.g., Azure Integration Services, Azure API Management). Analyze existing Mule ESB flows, identify equivalent Azure services, and design new integration patterns. Ensure data integrity and business continuity during and after migration. Technical Leadership & Mentoring: Provide technical leadership and guidance to development teams. Mentor junior developers and foster a culture of technical excellence. Conduct code reviews and ensure adherence to best practices and architectural standards. Collaboration & Stakeholder Management: Collaborate with architects, product owners, and other stakeholders to gather requirements and translate them into technical solutions. Effectively communicate technical concepts to both technical and non-technical audiences. Required Skills & Experience: 10+ years : of experience in software development, with a strong focus on Microsoft Azure. 3+ years : of hands-on experience in designing and implementing Generative AI solutions on Azure. Proven experience with Mule ESB and successful migration projects to Azure. Deep expertise in various Azure services, including but not limited to: Compute: Azure Functions, Logic Apps, Azure Kubernetes Service (AKS) Integration: Azure Service Bus, Event Hub, API Management, Azure Integration Services Data: Azure Cosmos DB, Azure SQL Database, Azure Data Factory AI/ML: Azure OpenAI, Azure Machine Learning, Azure AI Search Proficiency in programming languages such as C#, Python, or Java. Strong understanding of microservices architecture, RESTful APIs, and enterprise integration patterns. Experience with Azure DevOps for CI/CD and Git for version control. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Microsoft Certified: Azure Developer Associate, Azure AI Engineer Associate, or equivalent certifications. Experience with other cloud platforms (AWS, GCP). Familiarity with containerization technologies (Docker, Kubernetes). Knowledge of Infrastructure-as-Code (IaC) tools like Terraform or ARM templates.