AWS Developer

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

C2C or W2

Role:

As a Senior AWS Developer, you will be responsible for building cloud-native, serverless, and AI-enabled applications using AWS services. 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 across AWS environments.

Functional Area: Infrastructure Engineering

Location: Princeton NJ, New Jersey (US)

The Opportunity:

We are looking for an experienced AWS developer who can design, develop, and enhance cloud-native applications using serverless and modern AWS services. 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 in AWS.

To succeed, this Role's Responsibilities Would Involve:

• Bring a developer's mindset with strong knowledge of AWS cloud 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 evolving AWS services and Generative AI capabilities.

Responsibilities:

Application Development & Integration

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

Cloud Engineering & Infra Automation

• Implement Infrastructure-as-Code (IaC) using CloudFormation.
• Contribute to CI/CD pipelines using AWS CodePipeline, 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 new AWS AI 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 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 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 (React.js) for full-stack work.
• Familiarity with AWS Service Catalog, IAM Identity Center, or governance tools.
• Experience working in large-scale enterprise environments.
• AWS Certifications (Developer Associate, Solutions Architect Associate/Professional) are a plus.