AWS Cloud Engineer

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.

Functional Area: Infrastructure Engineering

Location: Lawrenceville New Jersey (US)

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.

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.