AWS developer

Job Summary For AWS Developer (Python / Node)

Location:

Princeton, NJ (3 days onsite)

Duration: 6+ Months Contract

Interview:
In Person or Virtual

• Design, develop, and enhance cloud-native, serverless, and AI-enabled applications using AWS services.
• Build scalable, secure backend services and implement event-driven components.
• Integrate LLM/Agentic AI features using Amazon Bedrock and Sage Maker.
• Build reusable components and support modernization initiatives across AWS environments.
• Write clean, maintainable, secure, and testable code in Python or Node.js.
• Work with AWS services (Lambda, API Gateway, Dynamo
  
  DB, SQS/SNS, Step Functions, S3).
• Implement Infrastructure-as-Code (IaC) using Cloud Formation.
• Develop and maintain CI/CD pipelines with AWS Code Pipeline, Code Build, and Code Deploy.
• Configure logging, monitoring, tracing, and alerts for observability.
• Collaborate with architects, product teams, and Dev Ops for end-to-end solution delivery.
• Stay updated with AWS and Generative AI service advancements.
• Participate in code reviews, design discussions, and troubleshooting activities.
• Ensure adherence to cloud security, compliance, and operational best practices.
• Experiment with new AWS AI features and contribute to proofs of concept (PoCs).

• 8-12 years overall experience with strong AWS development background.
• Hands-on with AWS serverless services:
  Lambda, Dynamo
  
  DB, SNS/SQS, Step Functions, API Gateway.
• AI/LLM feature development experience using Amazon Bedrock or Sage Maker.
• Strong programming skills in Node.js or Python.
• Proficient with AWS SDK, event-driven architectures, and microservices.
• Knowledge of AWS compute, networking, security, and CI/CD.
• Experience with Cloud Formation (IaC), Git, and modern development workflows.
• Strong debugging, problem-solving, and performance optimization skills.
• Ability to build secure, scalable, production-grade cloud applications.

• Experience with embeddings, vector indexing, or agentic AI workflows.
• Advanced knowledge of Dynamo
  
  DB (streams, TTLs, global tables).
• Experience with RDS or other cloud databases.
• Exposure to front-end technologies (React.js) for full-stack development.
• Familiarity with AWS Service Catalog, IAM Identity Center, or governance tools.
• Experience in large-scale enterprise environments.
• AWS Certifications (Developer Associate, Solutions Architect Associate/Professional) are a plus.