Work Location: Chennai India
Industry Domain: Banking
Work Mode: Hybrid
Interview Mode: Video and Face-to-Face
The Senior Azure Developer & Integration Specialist will play a pivotal role in designing developing and implementing robust and scalable solutions on the Microsoft Azure platform. This role requires strong Azure development expertise solid understanding of Generative AI and hands-on experience migrating integration solutions from Mule ESB to Azure-native services.
The ideal candidate will also lead technical discussions guide junior team members and ensure delivery of secure high-quality Azure solutions.
Roles & Responsibilities 1. Data Modeling & ETL Development -
Design and develop data models and ETL pipelines.
-
Implement metadata management and search indexing capabilities.
-
Build and maintain API metadata knowledge bases.
-
Develop data pipelines for ingestion and transformation.
2. Azure Development -
Design develop and deploy scalable and secure applications using Azure services such as Azure Functions Logic Apps Service Bus Event Hub Cosmos DB SQL Database AKS etc.
-
Implement and maintain CI/CD pipelines using Azure DevOps for automated build testing and deployment.
-
Optimize Azure resources for performance cost reliability and security.
3. Generative AI Solutions -
Design develop and integrate Generative AI solutions using Azure OpenAI Azure Machine Learning and Azure AI services.
-
Implement prompt engineering RAG (Retrieval-Augmented Generation) architectures and agentic AI patterns.
-
Evaluate fine-tune and optimize LLMs for specific business use cases.
4. Migration from Mule ESB to Azure -
Lead assessment planning and execution of migration from Mule ESB to Azure-native integration services (Azure Integration Services API Management etc.).
-
Analyze existing Mule ESB flows and design equivalent Azure-based integration patterns.
-
Ensure data integrity system stability and business continuity throughout the migration lifecycle.
5. Technical Leadership & Mentoring -
Provide architectural and technical guidance to development teams.
-
Mentor junior developers and promote best practices and coding standards.
-
Conduct peer code reviews and ensure alignment with architectural standards.
6. Collaboration & Stakeholder Management -
Work closely with architects product owners and business stakeholders to understand requirements and convert them into technical solutions.
-
Communicate complex technical concepts to both technical and non-technical audiences effectively.
Required Skills & Experience -
8 years of hands-on experience in software development with strong focus on Microsoft Azure.
-
3 years of experience in designing and implementing Generative AI solutions on Azure.
-
Proven experience in Mule ESB and migrating integration solutions to Azure.
-
Deep expertise in major Azure services:
-
Compute: Azure Functions Logic Apps AKS
-
Integration: Service Bus Event Hub API Management Azure Integration Services
-
Data: Cosmos DB Azure SQL Data Factory
-
AI/ML: Azure OpenAI Azure Machine Learning Azure AI Search
-
Strong proficiency in C# Python or Java.
-
Expertise in microservices architecture RESTful APIs and enterprise integration patterns.
-
Experience using Azure DevOps for CI/CD and Git for version control.
-
Excellent analytical problem-solving and communication skills.
Preferred Qualifications -
Microsoft Certified: Azure Developer Associate / Azure AI Engineer Associate (or similar).
-
Experience with other cloud platforms such as AWS or GCP.
-
Familiarity with containerization technologies-Docker Kubernetes.
-
Experience with IaC tools such as Terraform or ARM templates.
-
Bachelors degree in Computer Science or related field.
Work Location: Chennai India Industry Domain: Banking Work Mode: Hybrid Interview Mode: Video and Face-to-Face The Senior Azure Developer & Integration Specialist will play a pivotal role in designing developing and implementing robust and scalable solutions on the Microsoft Azure platform. This r...
Work Location: Chennai India
Industry Domain: Banking
Work Mode: Hybrid
Interview Mode: Video and Face-to-Face
The Senior Azure Developer & Integration Specialist will play a pivotal role in designing developing and implementing robust and scalable solutions on the Microsoft Azure platform. This role requires strong Azure development expertise solid understanding of Generative AI and hands-on experience migrating integration solutions from Mule ESB to Azure-native services.
The ideal candidate will also lead technical discussions guide junior team members and ensure delivery of secure high-quality Azure solutions.
Roles & Responsibilities 1. Data Modeling & ETL Development -
Design and develop data models and ETL pipelines.
-
Implement metadata management and search indexing capabilities.
-
Build and maintain API metadata knowledge bases.
-
Develop data pipelines for ingestion and transformation.
2. Azure Development -
Design develop and deploy scalable and secure applications using Azure services such as Azure Functions Logic Apps Service Bus Event Hub Cosmos DB SQL Database AKS etc.
-
Implement and maintain CI/CD pipelines using Azure DevOps for automated build testing and deployment.
-
Optimize Azure resources for performance cost reliability and security.
3. Generative AI Solutions -
Design develop and integrate Generative AI solutions using Azure OpenAI Azure Machine Learning and Azure AI services.
-
Implement prompt engineering RAG (Retrieval-Augmented Generation) architectures and agentic AI patterns.
-
Evaluate fine-tune and optimize LLMs for specific business use cases.
4. Migration from Mule ESB to Azure -
Lead assessment planning and execution of migration from Mule ESB to Azure-native integration services (Azure Integration Services API Management etc.).
-
Analyze existing Mule ESB flows and design equivalent Azure-based integration patterns.
-
Ensure data integrity system stability and business continuity throughout the migration lifecycle.
5. Technical Leadership & Mentoring -
Provide architectural and technical guidance to development teams.
-
Mentor junior developers and promote best practices and coding standards.
-
Conduct peer code reviews and ensure alignment with architectural standards.
6. Collaboration & Stakeholder Management -
Work closely with architects product owners and business stakeholders to understand requirements and convert them into technical solutions.
-
Communicate complex technical concepts to both technical and non-technical audiences effectively.
Required Skills & Experience -
8 years of hands-on experience in software development with strong focus on Microsoft Azure.
-
3 years of experience in designing and implementing Generative AI solutions on Azure.
-
Proven experience in Mule ESB and migrating integration solutions to Azure.
-
Deep expertise in major Azure services:
-
Compute: Azure Functions Logic Apps AKS
-
Integration: Service Bus Event Hub API Management Azure Integration Services
-
Data: Cosmos DB Azure SQL Data Factory
-
AI/ML: Azure OpenAI Azure Machine Learning Azure AI Search
-
Strong proficiency in C# Python or Java.
-
Expertise in microservices architecture RESTful APIs and enterprise integration patterns.
-
Experience using Azure DevOps for CI/CD and Git for version control.
-
Excellent analytical problem-solving and communication skills.
Preferred Qualifications -
Microsoft Certified: Azure Developer Associate / Azure AI Engineer Associate (or similar).
-
Experience with other cloud platforms such as AWS or GCP.
-
Familiarity with containerization technologies-Docker Kubernetes.
-
Experience with IaC tools such as Terraform or ARM templates.
-
Bachelors degree in Computer Science or related field.
View more
View less