AWS Cloud Architect — Node.js & Java Lead

MACHINE LEARNING TECHNOLOGIES LLC; Michigan Center (MI); Presencial; USD 96.000 - 131.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC in Michigan is seeking an experienced AWS & Node.js/Java Architect to lead the design and development of scalable, secure cloud-native applications. The role requires strong AWS expertise, backend development in Node.js and Java, microservices, and distributed systems leadership.

You will define technical architecture, drive cloud adoption, establish best practices, and mentor engineering teams while collaborating with cross-functional stakeholders on

Formación

• Strong experience in AWS cloud architecture and cloud-native application development.
• Hands-on experience with Node.js and Java backend development.
• Expertise in designing microservices and RESTful APIs.
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Knowledge of IaC tools such as Terraform or CloudFormation.

Responsabilidades

• Design scalable, secure cloud-native solutions on AWS.
• Lead backend development using Node.js and Java.
• Architect and develop microservices-based apps and RESTful APIs.
• Leverage AWS services (Lambda, API Gateway, EC2, S3, DynamoDB, SQS, SNS, IAM).
• Drive infrastructure as code and CI/CD pipelines.
• Ensure performance, security, reliability, and cost optimization.

Conocimientos

AWS cloud architecture

Node.js/Java

Microservices

RESTful APIs

CI/CD pipelines

DevOps practices

Cloud security

Technical leadership

Herramientas

Docker

Kubernetes

Terraform

CloudFormation

IAM

Descripción del empleo

MACHINE LEARNING TECHNOLOGIES LLC in Michigan is seeking an experienced AWS & Node.js/Java Architect to lead the design and development of scalable, secure cloud-native applications. The role requires strong AWS expertise, backend development in Node.js and Java, microservices, and distributed systems leadership.

You will define technical architecture, drive cloud adoption, establish best practices, and mentor engineering teams while collaborating with cross-functional stakeholders on