Description

You will design, build, and deploy cloud-native GenAI solutions on AWS, integrating LLM platforms to drive intelligent workflow automation.

This role is on-site.

Responsibilities

• Develop scalable backend services and reusable APIs using Python, Node.js, or Java.
• Implement event-driven architectures and infrastructure as code with Terraform and CI/CD pipelines.
• Integrate GenAI applications using OpenAI and Amazon Bedrock for automated workflows.
• Deploy and manage AWS serverless components including Lambda, Step Functions, EventBridge, S3, SNS, and SQS.
• Collaborate with architects and stakeholders to define technical requirements and optimize system performance.

Required Skills

• 8-10 years of experience in backend development and cloud engineering.
• Strong proficiency in AWS serverless technologies (Lambda, Step Functions, EventBridge, S3, SNS, SQS, IAM).
• Hands-on experience with GenAI/LLM integration via OpenAI and Amazon Bedrock.
• Backend development expertise in Python, Node.js, or Java.
• Infrastructure automation using Terraform and CI/CD pipeline management.
• API development using OpenAPI/Swagger standards.
• Bachelor’s degree in Computer Science, IT, Software Engineering, Data Engineering, or related field.

Preferred Skills

• Experience with root cause analysis and production troubleshooting.
• Background in cost efficiency and security optimization for cloud systems.

Key Skills

Education

Any Graduate