Description

Modernize legacy applications into Spring Boot microservices and architect cloud-native solutions on Microsoft Azure with integrated AI/LLM capabilities.

This role is on-site.

Responsibilities

• Migrate monolithic applications to Spring Boot microservices using the strangler pattern and event-driven architectures.
• Integrate generative AI features, including chatbots, document processing, and code assistants, using RAG and vector databases.
• Design and implement secure, scalable systems on Azure, defining API-first and distributed system patterns.
• Establish CI/CD pipelines and DevOps practices using Azure DevOps and Jenkins, managing infrastructure via Terraform.
• Mentor teams on modern architecture, AI adoption, and governance frameworks.

Required Skills

• 7-10 years of software development experience with strong expertise in Java 8/11/17 and Spring Boot/Spring Cloud.
• Proficient in Microsoft Azure, including Azure DevOps, Terraform, Azure SQL, and Cosmos DB.
• Experience integrating LLMs (Claude, OpenAI) with prompt engineering, embeddings, and vector databases.
• Strong knowledge of microservices, domain-driven design, and event-driven architecture using Kafka or Azure Service Bus.
• Hands-on experience with Docker, Kubernetes (AKS), and container orchestration.
• Proficiency in CI/CD tools such as Azure DevOps and Jenkins.
• Database experience with SQL Server, PostgreSQL, and NoSQL solutions like MongoDB.

Preferred Skills

• Proven track record in application architecture and large-scale cloud migration projects.
• Experience with AI governance, security, and ethical usage frameworks.

Key Skills

Education

Bachelor's degree