Mthreerecruitingportal

Mthreerecruitingportal

Technology Talent Program - USA - no degree

New York, NY · Full-time

Work authorization requiredDetected 23 days ago
PythonGitMySQLDockerAnsibleCI/CDJenkinsLinuxDevOpsData EngineeringExcelLogisticsCustomer SupportCommunication

About the role

  • We're giving you another option - preparing you with the skills and experience to succeed with world-leading businesses in Investment Banking and Technology.

Requirements

  • No college degree required (Associate's or Bachelor's are not required
  • Before you start your role, you'll complete 8-10 weeks of paid training at the mthree Academy, where you'll gain hands-on experience with:
  • mthree Talent Accelerator - Infrastructure Engineer - Non-Degree Program
  • Must have the right to work in the US without the need for sponsorship
  • Unlock Your Potential in New York - No College Degree Required!

Skills

  • Ansible, Puppet, Chef, Docker
  • Linux scripting and automation
  • AI & Data Engineering foundations
  • Cloud Engineering basics

Compensation

  • $66,300 + benefits
  • Eligibility: Must have the right to work in the US without the need for sponsorship
  • We deliver specialized training to graduates and career changers, equipping them with the skills they need to excel in their careers.
  • Our mission is to develop the next generation of technology talent while supporting the continuous evolution of the global workforce.
  • Unlock Your Potential in New York - No College Degree Required!
  • That's why this program is designed for people who want to go straight into the working world instead of college.

Benefits

  • mthree is a global talent and reskill training provider, bridging the gap between education and employment by connecting education with business.
  • Further education isn't for everyone.

Visa & Work Authorization

  • Eligibility: Must have the right to work in the US without the need for sponsorship

This listing is sourced directly from Mthreerecruitingportal's careers page and normalized into a canonical job model.