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 Roles Responsibilities Would Involve:
- Bring a developers 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 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 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 () 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.
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. Thi...
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 Roles Responsibilities Would Involve:
- Bring a developers 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 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 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 () 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.
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