Full Stack Engineer

Project Role : Full Stack Engineer

Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

Must have skills : Java Full Stack Development

Good to have skills : Microsoft Azure Architecture, Microservices and Light Weight Architecture, Spring Boot

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

Java 17, Spring Boot, Microservices, Cloud Modernization, and AI/LLM integration are must-have skills for this requirement.

We are seeking a Senior Manager – Engineering with strong expertise in building cloud-native, microservices-based platforms and driving enterprise AI adoption using LLMs and Agentic AI frameworks. The ideal candidate will provide technical leadership, architecture guidance, and strategic direction while managing multiple teams delivering scalable applications on Azure.

Roles & Responsibilities

Lead architecture and delivery of Java 17 microservices platforms using Spring Boot and reactive frameworks.

Drive cloud modernization programs, transforming legacy systems into cloud-native microservices architectures.

Define enterprise strategy for AI-enabled applications leveraging LLMs and Agentic AI frameworks.

Oversee development of event-driven architectures using Kafka and Azure messaging services.

Ensure best practices in scalability, reliability, performance, and security.

Guide engineering teams deploying applications on Azure App Service, Azure Spring Apps, and AKS.

Collaborate with enterprise architects and stakeholders to align technology strategy with business goals.

Mentor engineering managers and senior developers.

Establish DevOps practices and ensure CI/CD and cloud automation maturity.

Professional & Technical Skills

Programming & Frameworks

Strong expertise in Java 17 and Spring Boot.

Experience building reactive microservices architectures.

Strong background in enterprise API design and distributed systems.

Architecture

Expertise in microservices and event-driven architectures.

Proven experience leading large-scale cloud modernization initiatives.

Strong knowledge of enterprise application architecture and platform engineering.

AI, Agentic AI & LLM Integration

Strong understanding of Generative AI, LLM architectures, and enterprise AI adoption.

Experience defining solutions using Azure OpenAI or similar platforms.

Familiarity with Agentic AI frameworks, RAG architectures, and AI-driven automation.

Event Streaming & Messaging

Kafka

Azure Event Hubs, Service Bus, Event Grid

Azure Cloud & PaaS Services

Experience with:

App Hosting & Containers

Azure App Service

Azure Spring Apps

Azure Kubernetes Service (AKS)

Serverless & Workflows

Azure Functions

Logic Apps

API Management

Azure API Management (APIM)

Data Services

Cosmos DB

Azure PostgreSQL

Caching

Azure Redis Cache

DevOps & Platform Engineering

CI/CD (Azure DevOps, GitHub Actions)

Docker, Kubernetes

Cloud-native security and governance practices

Additional Information

Experience: 14–18 years

Education: Bachelor s degree in Computer Science or related field

Preferred: Azure or AI certifications