AWS DevOps Engineer | Kubernetes & Microservices Lead

MACHINE LEARNING TECHNOLOGIES LLC; Alpharetta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Alpharetta, GA seeks an experienced AWS DevOps Engineer with Kubernetes expertise for a 12-month engagement. You will join a team responsible for a mission-critical application, ensuring scalable, secure deployments and rapid release cycles.

6+ years of hands-on experience in AWS, Kubernetes, Docker, and CI/CD are required. Strong Linux/Tomcat and Java-related skills, with adherence to Agile practices and SOX-aligned controls, are essential.

Qualifications

• 10+ years of Application Development and Technology Experience.
• 6+ years deploying microservices using Spring Boot in a Kubernetes environment.
• 5+ years AWS cloud environment and Kubernetes cluster management.
• Experience with CI/CD-driven development and Agile methodology.
• Proficient in Linux/Unix, Tomcat, and DevOps tooling.

Responsibilities

• Configure and maintain application servers, monitor health, and ensure security and performance.
• Lead DevOps functions for multiple enterprise releases and maintenance cycles.
• Automate processes, track issues, and document changes in line with Agile practices.

Skills

Kubernetes

AWS

Docker

CI/CD

Linux/Unix

Tomcat

Git

Education

Bachelor’s degree or Master’s degree in computer science or similar

Tools

CloudFormation

Terraform

YAML

Jenkins

Fortify

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Alpharetta, GA seeks an experienced AWS DevOps Engineer with Kubernetes expertise for a 12-month engagement. You will join a team responsible for a mission-critical application, ensuring scalable, secure deployments and rapid release cycles.

6+ years of hands-on experience in AWS, Kubernetes, Docker, and CI/CD are required. Strong Linux/Tomcat and Java-related skills, with adherence to Agile practices and SOX-aligned controls, are essential.