Description

Job Responsibilities include:

Design, develop, and deploy cloud-native GenAI solutions using AWS serverless technologies such as Lambda, Step Functions, EventBridge, S3, SNS, and SQS.

Build and integrate AI-powered applications utilizing LLM platforms such as OpenAI and Amazon Bedrock to support intelligent workflow automation.

Develop scalable backend services, reusable APIs, and integration components using Python, Node.js, or Java while following software engineering best practices.

Implement and maintain event-driven architectures, infrastructure as code (Terraform), and CI/CD pipelines to ensure reliable and efficient solution delivery.

Collaborate with business stakeholders, architects, and cross-functional teams to define requirements, design technical solutions, and support application enhancements.

Monitor application performance, troubleshoot production issues, conduct root cause analysis, and optimize systems for scalability, security, reliability, and cost efficiency.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related technical discipline.

8-10 years of experience in backend development, cloud engineering, and AWS-based solution delivery, including GenAI application development.

Strong hands-on experience with AWS serverless services (Lambda, Step Functions, EventBridge, S3, IAM, SNS, SQS), event-driven architectures, and infrastructure automation using Terraform and CI/CD pipelines.

Proven expertise in integrating and deploying GenAI/LLM solutions using OpenAI and Amazon Bedrock, along with backend development experience in Python, Node.js, or Java and API development using OpenAPI/Swagger

Key Skills

Education

Any Graduate