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Full Stack Engineer - Java Microservices & Azure Cloud

Accenture India Private Limited

Full Stack Engineer - Java Microservices & Azure Cloud

Accenture India Private Limited

Nagpur

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

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 Standard Edition
Good to have skills : Microsoft Azure Architecture, Spring Boot, Microservices and Light Weight Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Java 17, Spring Boot, and Microservices are must-have skills for this requirement.
We are seeking a Team Lead – Java Developer with strong hands-on development experience in Java microservices and Azure cloud environments, capable of leading a small team while delivering scalable enterprise applications.

Roles & Responsibilities
Develop and maintain Java 17 microservices using Spring Boot.
Implement REST APIs and event-driven integrations using Kafka.
Deploy applications on Azure cloud platforms.
Collaborate with architects on cloud-native application development.
Ensure code quality, performance optimization, and best practices.
Guide junior developers and support technical troubleshooting.
Contribute to integration of AI/LLM-based capabilities in applications.

Professional & Technical Skills
Programming
Java 17
Spring Boot
REST APIs

Architecture
Microservices architecture
Event-driven systems

Cloud
Azure App Service
Azure Kubernetes Service
Azure API Management

Messaging
Kafka

DevOps
CI/CD pipelines
Docker
Basic Kubernetes knowledge

AI Exposure
Basic awareness of LLMs and AI integrations
Additional Information
Experience: 6–9 years
Education: Bachelor s degree in Computer Science or related field