{"schemaVersion":"jobsearcher.job.v1","id":"a6544094b327f6dddbc9bf73","url":"https://jobsearcher.com/jobs/a6544094b327f6dddbc9bf73","canonicalUrl":"https://jobsearcher.com/jobs/a6544094b327f6dddbc9bf73","title":"Lead AWS Cloud Developer with AI (Python)","description":"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.","company":"Argyle Infotech","rawCompany":"argyle infotech","city":"Princeton","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-06-03T01:19:27.605Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AWS Cloud Developer with AI (Python)","description":"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.","datePosted":"2026-06-03T01:19:27.605Z","dateModified":"2026-06-03T01:19:27.605Z","hiringOrganization":{"@type":"Organization","name":"Argyle Infotech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Princeton","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a6544094b327f6dddbc9bf73"},"url":"https://jobsearcher.com/jobs/a6544094b327f6dddbc9bf73"}}