Lead AWS Cloud Developer with AI (Python)

Location: Onsite (Princeton, NJ) Hybrid Local candidate

Experience: 10+ Years.

Skills: AWS Cloud Services and Python Scripting (Please don’t share infra side candidate)

Job Description: 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 Code Pipeline, Code Build, and Code Deploy.
• 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.