senior Java Developer

Cloudxtreme Technologies; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Cloudxtreme Technologies is seeking a Java Backend Developer with AWS expertise to build and maintain scalable backend services. The role involves designing microservices, working with Springboot, and implementing RESTful APIs.

The candidate will work with databases (SQL/PLSQL) and various AWS services, employing Terraform for infrastructure provisioning and Kafka for event-driven messaging.

Qualifications

• Strong working experience in Java Backend development.
• Experience in SQL/PLSQL in databases such as Sybase, DB2, DynamoDB, MongoDB.
• Experience with Docker-based microservices and RESTful API architecture.
• Good understanding of core AWS services including EC2, S3, ALB, NATGW, EFS, Lambda, API Gateway.
• Ability to design AWS infrastructure including DR at AWS level.
• Knowledge of Infra provisioning using Terraform in AWS.
• Strong understanding of event-driven messaging using Kafka.

Responsibilities

• Develop Java backend services and RESTful APIs.
• Design and implement Docker-based microservices.
• Work with AWS services including EC2, S3, and API Gateway.
• Utilize Terraform for AWS infrastructure provisioning.
• Leverage Kafka for event-driven messaging.

Skills

Java

Springboot

Microservices

SQL/PLSQL

DB

AWS

Kafka

Tools

Docker

Terraform

Job description

Role: Java Developer with AWS

Primary skills: Java, Springboot, Microservices, SQL/PLSQL, DB, AWS and Kafka

Job Description:

Have strong working experience in Java Backend developer

Experience in SQL/PLSQL in any database Technologies like Sybase, DB2, DynamoDB, MongoDB

Implemented Docker-Microservices, RESTful API Architecture

Good understanding of Core AWS Services including AWS EC2, S3, ALB, NATGW, EFS, Lambda, APIGW

Ability to create AWS Infrastructure Design including DR at AWS Infra Level

Knowledge in Infra Provisioning using Terraform in AWS

Should possess strong understanding of event driven messaging using Kafka