AWS Developer
han staffingIselin (NJ)
About the role
Job ID: Reference Number:
Title: AWS Developer
Location: Iselin, NJ, 08830 Posted Date:
Contact: Deepak Kumar
Contact Email: Contact Phone:
Company: HAN Staffing
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.
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.
Before you apply
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Your profile is current
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.