Title : Python/AWS Developer/ AI/ML
Location : Princeton, NJ (Onsite) - Look for candidates from NY/NJ/PA (Drivable distance)
Exp: 10+yrs profiles
Mode of interview: Final Round In person
Role:
As a Senior AWS Developer, 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.
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