Senior AWS Developer

Role: Senior AWS Developer Location: Princeton, NJ (Onsite) Contract Job Description: 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. 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.

Created: 2026-03-13