Cloud DevOps Engineer - AWS, Kubernetes, Terraform

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a skilled DevOps Engineer for San Jose, CA. The role focuses on cloud infrastructure, containerization, automation, and CI/CD to build reliable, scalable deployment environments.

The ideal candidate will design and maintain CI/CD pipelines, manage AWS infrastructure, implement Docker and Kubernetes, and automate provisioning with Terraform, while ensuring security and operational excellence.

Qualifications

• 5+ years of DevOps experience in cloud environments.
• Strong automation and CI/CD experience.
• Healthcare domain experience is a plus.
• Solid scripting skills in Bash or Python.

Responsibilities

• Design, implement, and maintain CI/CD pipelines.
• Manage cloud infrastructure on AWS.
• Implement containerization using Docker.
• Deploy and manage applications on Kubernetes.
• Automate provisioning with Terraform.
• Monitor performance and infrastructure health.
• Implement configuration management and deployment automation.
• Collaborate with development teams to streamline releases.
• Troubleshoot build, deployment, and production issues.
• Apply security best practices across DevOps workflows.
• Maintain infrastructure documentation and procedures.

Skills

AWS Cloud Services

Docker & Kubernetes

Jenkins

GitLab CI/CD

GitHub Actions

Terraform

Linux Administration

Shell Scripting

Python

CI/CD Automation

Helm

Prometheus Grafana

Git

Tools

Docker

Kubernetes

Helm

Prometheus Grafana

Terraform

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a skilled DevOps Engineer for San Jose, CA. The role focuses on cloud infrastructure, containerization, automation, and CI/CD to build reliable, scalable deployment environments.

The ideal candidate will design and maintain CI/CD pipelines, manage AWS infrastructure, implement Docker and Kubernetes, and automate provisioning with Terraform, while ensuring security and operational excellence.