Remote Full-Stack Automation Engineer Training Program

CVS Health

Yuma (AZ)

Remote

USD 75,000 - 85,000

Full time

6 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Paid time off

Job summary

CVS Health offers a fully remote Infrastructure Software Engineering Program (ISEP), a two-year development track to train automated engineering capabilities within a fast-paced IT environment. The program emphasizes hands-on learning, Agile/XP practices, and modern delivery methods, with sponsorship and mentorship to prepare for a secure, AI-driven enterprise.

Join us to work on cutting-edge technology in IT Security, Automation, Cloud, and AI, while building enterprise-scale applications and

Qualifications

  • 1+ years in a relevant IT position (academic or professional).
  • 6+ months experience with AI/ML, GenAI, and agent development.
  • 6+ months experience programming, developing, or coding.

Responsibilities

  • Assisting in the support of existing applications and/or development efforts.
  • Writing high-quality code compliant with enterprise and industry regulations.
  • Collaborating with business analysts and product owners to ensure understanding of business priorities.
  • Analyzing and improving the efficiency of various systems and services.
  • Proactively monitoring industry trends and identifying opportunities to implement new technologies.

Skills

AI/ML experience
Python
PowerShell
YAML
GitHub Actions

Education

High School Diploma or GED
Bachelor's degree preferred

Tools

Azure
AWS
GCP
Kubernetes

Job description

CVS Health offers a fully remote Infrastructure Software Engineering Program (ISEP), a two-year development track to train automated engineering capabilities within a fast-paced IT environment. The program emphasizes hands-on learning, Agile/XP practices, and modern delivery methods, with sponsorship and mentorship to prepare for a secure, AI-driven enterprise.

Join us to work on cutting-edge technology in IT Security, Automation, Cloud, and AI, while building enterprise-scale applications and

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