Backend Java Developer

Strong Java Backend Developer with strong experience on Java Programming/coding with AWS and AI, Data structures, Algorithm

We are seeking a highly skilled Backend Developer with strong expertise in Java, AWS

cloud technologies, and Kubernetes. The ideal candidate will be responsible for

designing, developing, and deploying scalable backend systems and cloud-native

microservices that support high-performance applications.

Key Responsibilities:

Design, develop, and maintain scalable backend systems and microservices

using Java

Build and enhance RESTful APIs to support high-traffic web and mobile

applications

Develop cloud-native solutions and deploy applications on AWS using services

such as EC2, Lambda, RDS, S3, IAM, and CloudWatch

Containerize and orchestrate applications using Docker and Kubernetes (K8s)

Implement monitoring, logging, and alerting mechanisms for backend services

Optimize system performance, scalability, reliability, and security

Participate in code reviews, unit testing, and continuous improvement initiatives

Collaborate closely with frontend developers, DevOps engineers, architects, and

product managers

Support CI/CD automation and deployment best practices

Required Skills:

Strong hands-on programming experience in Java

Proven expertise in building and maintaining RESTful APIs and microservices

architecture

Strong experience with AWS cloud services, including EC2, Lambda, S3, RDS,

IAM, and CloudWatch

Solid understanding of Kubernetes (K8s) and container orchestration

Experience with Docker and CI/CD pipelines

Strong knowledge of relational and NoSQL databases such as PostgreSQL,

MySQL, and DynamoDB

Good understanding of software engineering principles, design patterns, and

scalable architecture

Experience working in Agile development environments

Preferred Skills:

Experience with Spring Boot and microservices frameworks

Familiarity with Infrastructure as Code (IaC) tools such as Terraform or

CloudFormation

Experience with event-driven architectures using Kafka, SNS, or SQS

Knowledge of application monitoring and observability tools like Prometheus

and Grafana

Understanding of secure coding practices and cloud security standards