J2EE Developer

Innodeed Systems -
Bhilai, Chhattisgarh

Apply Now

Job details

Full-time

Qualifications

Spring Boot
TensorFlow
CI/CD
RDBMS
Azure
Oracle
Computer Science
Kubernetes
Big data
Spark
Git
J2EE
Java
Master's degree
Microservices
SOAP
AWS
Docker
Bachelor's degree
Machine learning
PostgreSQL
Version control systems
Continuous integration
JPA
REST
APIs
Agile
Kafka
AI
Spring framework
Hibernate
MySQL
Hadoop

Full job description

Location

On-site

Type

Full Time

Overview

We are looking for an experienced J2EE Developer to build and enhance AI-powered enterprise applications. The ideal candidate should have a strong background in Java, J2EE frameworks, and AI/ML integrations. You will collaborate with AI engineers, data scientists, and front-end developers to develop scalable, high-performance applications.

Key Responsibilities

Develop, optimize, and maintain AI-powered applications using Java and J2EE technologies
Integrate AI/ML models using TensorFlow, OpenAI APIs, or other ML frameworks
Design and implement RESTful APIs and Web Services
Work with databases like Oracle, MySQL, or PostgreSQL for data management
Collaborate with front-end developers to ensure seamless application performance
Implement authentication, authorization, and data security best practices
Optimize application performance, scalability, and reliability
Debug, test, and resolve issues to maintain high-quality application standards
Stay updated with the latest advancements in J2EE, AI, and cloud computing
Participate in Agile development processes and contribute to sprint planning

Required Skills & Qualifications

Bachelor's or Master’s degree in Computer Science, IT, or a related field
3+ years of experience in Java/J2EE development
Strong knowledge of Spring Framework, Spring Boot, Hibernate, JPA
Proficiency in RDBMS (Oracle, MySQL, or PostgreSQL) is essential
Experience integrating AI/ML models using TensorFlow, OpenAI API, or similar technologies
Hands-on experience with RESTful APIs, SOAP, and Microservices architecture
Familiarity with cloud-based AI services (AWS, Azure, Google AI APIs)
Proficiency in version control systems like Git
Strong problem-solving skills and a passion for AI-driven innovation
Experience working with AI-powered applications or machine learning models
Knowledge of Big Data processing frameworks (Apache Kafka, Spark, Hadoop) is an added advantage
Knowledge of the CI/CD pipeline is a plus
Familiarity with containerization tools like Docker and Kubernetes

Apply Now

Overview

Key Responsibilities

Required Skills & Qualifications

Jobseeker tools

Employer Tools

Browse

Stay Connected