AWS Developer

Title :AWSDeveloper(From Development background) with LLM Agentic AI Python/NodeJS (Programming)- Overall 10yrs profiles
Location : Princeton NJ (Onsite)

C2C or W2

Role:

As a SeniorAWSDeveloper you will be responsible for building cloud-native serverless and AI-enabled applications usingAWSservices. You will work hands-on across development integration automation and optimization of cloud solutions. This role involves developing scalable and secure backend services implementing event-driven components integrating LLM/Agentic AI capabilities and contributing to modernization initiatives acrossAWSenvironments.

Functional Area:Infrastructure Engineering

Location:Princeton NJ New Jersey (US)

The Opportunity:

We are looking for an experiencedAWSdeveloperwho can design develop and enhance cloud-native applications using serverless and modernAWSservices. You will work across multiple teams to build reusable components implement automation integrate AI/LLM capabilities using Amazon Bedrock and SageMaker and support delivery of secure efficient and cost-optimized solutions inAWS.

To succeed this Roles Responsibilities Would Involve:

• Bring adevelopers mindset with strong knowledge ofAWScloud engineering.
• Be comfortable building debugging and enhancing serverless applications.
• Work collaboratively with architects product teams and DevOps to deliver end-to-end solutions.
• Understand modern cloud design principles security practices and automation standards.
• Stay current with evolvingAWSservices and Generative AI capabilities.

Responsibilities:

Application Development & Integration

• Build and enhance cloud-native applications usingAWSservices such as Lambda API Gateway DynamoDB SQS/SNS Step Functions and S3.
• Develop AI-enabled features using LLMs Agentic AI andAWSservices like Amazon Bedrock and SageMaker.
• Write clean maintainable secure and testable code using or Python.
• Implement event-driven workflows asynchronous integrations and serverless APIs.
• IntegrateAWSservices programmatically usingAWSSDK.

Cloud Engineering & Infra Automation

• Implement Infrastructure-as-Code (IaC) using CloudFormation.
• Contribute to CI/CD pipelines usingAWSCodePipeline CodeBuild and CodeDeploy.
• Support observability by configuring logging monitoring tracing and alerts.
• Follow cloud security compliance and operational best practices.

AI/LLM Feature Implementation

• Build LLM-driven features inference workflows prompt-handling and agent-based automation using Bedrock.
• Develop scalable AI components and integrate them into backend services.
• Experiment with newAWSAI capabilities and contribute to PoCs.

Collaboration & Delivery

• Work with architects and senior engineers to translate high-level architecture into implementation.
• Participate in code reviews design discussions and team development practices.
• Troubleshoot issues optimize application performance and support deployment activities.

Mandatory Skills

• 8 to 12 years of overall experience with strongAWSdevelopment background.
• Hands-on development usingAWSserverless services: Lambda DynamoDB SNS/SQS Step Functions API Gateway.
• Experience developing AI/LLM features using Amazon Bedrock or SageMaker.
• Strong programming experience in or python
• Solid experience withAWSSDK event-driven patterns and microservices.
• Good understanding ofAWScompute networking security and CI/CD.
• Experience with CloudFormation for IaC.
• Experience with Git and modern development workflows.
• Strong debugging problem-solving and performance optimization skills.
• Ability to write secure scalable production-grade cloud applications.

Good to Have Skills

• Experience with embeddings vector indexing or Agentic AI workflows.
• Knowledge of DynamoDB advanced patterns (streams TTLs global tables).
• Experience working with RDS or other cloud databases.
• Exposure to front-end technologies () for full-stack work.
• Familiarity withAWSService Catalog IAM Identity Center or governance tools.
• Experience working in large-scale enterprise environments.
• AWSCertifications (DeveloperAssociate Solutions Architect Associate/Professional) are a plus.

Required Skills:

8 to 12 years of overall experience with 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 or python Solid experience with AWS SDK event-driven patterns and microservices. Good understanding of AWS compute networking security and CI/CD. Experience with CloudFormation for IaC.