Job Summary:
The Node.js Developer with AWS will develop, test, and optimize cloud-native Node.js applications integrated with AWS services. The role focuses on application development, cloud infrastructure, serverless workflow orchestration, machine learning integration, and monitoring and logging. The ideal candidate will have strong Node.js and AWS development expertise and experience building scalable, secure, and operationally reliable cloud solutions. This is a hybrid position based in Malvern, PA, Charlotte, NC, or Dallas, TX.
Key Responsibilities:
• Write, test, and optimize Node.js applications integrating AWS services such as Lambda, ECS, and Step Functions.
• Design, deploy, and manage AWS cloud resources, including AWS services, VPC configurations, and security components.
• Develop and orchestrate serverless workflows using AWS Step Functions and Lambda.
• Implement machine learning pipelines and feature engineering solutions.
• Integrate applications and ML workflows with AWS Fraud Detector.
• Use Splunk and Amazon CloudWatch for monitoring, logging, and operational troubleshooting.
• Develop cloud-native applications following scalable and secure engineering practices.
• Support application performance, reliability, and operational troubleshooting.
Required Qualifications:
• Strong hands-on experience developing Node.js applications.
• Experience with AWS cloud services, including Lambda, ECS, and Step Functions.
• Experience designing and managing AWS cloud infrastructure and VPC configurations.
• Experience developing serverless workflows using AWS Step Functions and Lambda.
• Experience with machine learning pipelines and feature engineering.
• Experience integrating applications with AWS Fraud Detector.
• Experience with monitoring and logging using Splunk and CloudWatch.
• Strong application development, troubleshooting, and problem-solving skills.
Preferred Qualifications:
• Experience with cloud-native and serverless application architectures.
• Experience with AWS security and infrastructure best practices.
• Experience with machine learning or fraud prevention solutions.
