Description

You will build AI-powered automation and scalable backend services on AWS using Java 17/21 and Spring Boot.

This role is on-site.

Responsibilities

• Design and implement AI-integrated applications using AWS Bedrock, LLMs, and SageMaker.
• Develop robust backend services and RESTful APIs using Java 17/21 and microservices architecture.
• Build scalable cloud solutions leveraging AWS Lambda, S3, API Gateway, and DynamoDB.
• Implement CI/CD pipelines for automated deployment and monitoring of AI models.
• Clean and process data to feed machine learning models and enhance automation.

Required Skills

• 5+ years of hands-on experience with Core Java (17+ preferred) and Spring Boot.
• Proven proficiency with AWS services: Lambda, EMR, S3, RDS, EKS/ECS.
• Familiarity with AI/ML frameworks including TensorFlow and PyTorch.
• Experience with generative AI tools such as AWS Bedrock and SageMaker.
• Infrastructure as Code experience using Terraform or CloudFormation.
• Knowledge of Docker, Kubernetes, and Jenkins for DevOps workflows.
• Understanding of microservices, event-driven architectures, and RESTful API design.

Key Skills

Education

Any Graduate