DevOps Engineer

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); Vor Ort; USD 120.000 - 190.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

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

Jobbeschreibung

Job Overview

• Job ID: J53535
• Job Title: DevOps Engineer
• Location: San Jose, CA
• Duration: 24 Months + Extension
• Domain Exposure: Healthcare
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

We are seeking a skilled DevOps Engineer with strong expertise in cloud infrastructure, containerization, automation, and continuous integration and deployment. The candidate will be responsible for implementing DevOps practices and maintaining reliable, scalable, and automated deployment environments.

Key Responsibilities

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

Required Skills

• AWS Cloud Services.
• Docker and Kubernetes.
• Jenkins, GitLab CI/CD, or GitHub Actions.
• Terraform and Infrastructure as Code.
• Linux Administration and Shell Scripting.
• Python or Bash Scripting.
• CI/CD Pipeline Automation.
• Helm and Container Orchestration.
• Prometheus and Grafana.
• Git and Version Control.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.