Remote Full-Stack Automation Engineer Trainee

CVS Health; Las Vegas (NV); Remote; USD 75,000 - 85,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health offers a two-year Infrastructure Software Engineering Program (ISEP) within ISTS to train you as a full-stack automation engineer. This remote program provides hands-on experience, training, and mentoring in Agile, DevSecOps, and XP practices.

You will support existing applications, write high-quality code, and collaborate with business analysts to align with priorities while exploring AI/ML and automation opportunities across cloud, security, and data platforms.

Qualifications

• Bachelor's degree in CS, SE, MIS or related field.
• Exposure to AI/ML technologies and automation is a plus.
• Strong problem solving and collaboration abilities.

Responsibilities

• Assist in support of existing applications and development efforts.
• Write high-quality code compliant with enterprise regulations.
• Collaborate with analysts and product owners to align priorities.
• Analyze and improve efficiency of systems and services.
• Monitor industry trends and identify new technologies.
• Create and execute test scenarios for new components.
• Share knowledge with IT teams.
• Troubleshoot user-reported issues.
• Use automation tools (Ansible, Jenkins) for use cases.
• Work within Agile, XP, Kanban delivery frameworks.

Skills

Communication skills

AI/ML experience

GenAI/agent development

Independent work

Education

Bachelor's degree in CS or related

High School Diploma or GED

Tools

Python

PowerShell

YAML

GitHub Actions

Jenkins

Ansible

Docker

Kubernetes

Terraform

Azure

GCP

AWS

Job description

CVS Health offers a two-year Infrastructure Software Engineering Program (ISEP) within ISTS to train you as a full-stack automation engineer. This remote program provides hands-on experience, training, and mentoring in Agile, DevSecOps, and XP practices.

You will support existing applications, write high-quality code, and collaborate with business analysts to align with priorities while exploring AI/ML and automation opportunities across cloud, security, and data platforms.