Description

You will build and deploy scalable cloud applications leveraging AWS and integrating AI/LLM features.

This role is hybrid.

Responsibilities

• Implement Infrastructure-as-Code using CloudFormation.
• Contribute to CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy.
• Build LLM-driven features, inference workflows, prompt-handling, and agent-based automation using Bedrock.
• Develop scalable AI components and integrate them into backend services.
• Support observability by configuring logging, monitoring, tracing, and alerts.

Required Skills

• 8+ years of overall experience with a strong AWS development background.
• Hands-on development using AWS serverless services: Lambda, DynamoDB, SNS/SQS, Step Functions, API Gateway.
• Experience developing AI/LLM features using Amazon Bedrock or SageMaker.
• Strong programming experience in Node.Js or Python.
• Solid experience with AWS SDK, event-driven patterns, and microservices.
• Good understanding of AWS compute, networking, security, and CI/CD.
• Experience with Git and modern development workflows.
• Ability to write secure, scalable, production-grade cloud applications.

Key Skills

Education

Any Graduate