Consultant

Surge Technology Solutions Inc; Chennai District; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A leading technology solutions provider in India is seeking a Senior Azure Developer & Integration Specialist. The role involves designing, developing, and implementing solutions on Microsoft Azure with a focus on Generative AI solutions and migration from Mule ESB. Candidates should have over 10 years of software development experience and a minimum of 3 years in Generative AI. This full-time position is ideal for someone looking to lead projects and mentor junior developers.

Qualifications

• 10+ years of experience in software development, focusing on Microsoft Azure.
• 3+ years of hands-on experience in designing and implementing Generative AI solutions on Azure.
• Deep expertise in various Azure services and successful migration projects.

Responsibilities

• Build and maintain the API metadata knowledge base.
• Design, develop, and deploy scalable applications on Azure.
• Implement and maintain CI/CD pipelines using Azure DevOps.

Skills

10+ years of experience in software development

3+ years of experience in Generative AI solutions

Proven experience with Mule ESB

Proficiency in C#, Python, or Java

Strong understanding of microservices architecture

Experience with Azure DevOps and Git

Excellent problem-solving and communication skills

Tools

Terraform

Docker

Kubernetes

Job description

Lead Talent Acquisition | Digital Process Automation Hiring Specialist | People & Product Value Streams

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.
• 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:
• 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:

• 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Consulting, Information Technology, and Engineering
• Software Development