Lead AWS Cloud Developer with AI (Python)Location: Onsite (Princeton, NJ) Hybrid Local candidateExperience: 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.