Remote Full-Stack Automation Engineer Training Program

CVS Health; United States; Remote; USD 75,000 - 85,000; Full time

Job summary

CVS Health is offering a two-year Infrastructure Software Engineering Program (ISEP) to train candidates into full-stack automation engineers. The program is remote, welcomes IT-minded learners, and aims at developing automation, security, and cloud skills within a Fortune 6 company.

The role emphasizes hands-on coding, collaboration with product teams, and exposure to Agile/DevSecOps practices. Ideal for candidates with foundational IT experience and interest in GenAI and AI/ML applications.

Qualifications

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

Responsibilities

• Assist in supporting existing applications and development efforts.
• Write high-quality code compliant with enterprise regulations.
• Collaborate with business analysts and product owners to align priorities.
• Analyze and improve the efficiency of systems and services.
• Monitor trends and identify opportunities to use new technologies.
• Create and execute test scenarios for new changes.
• Share knowledge with IT colleagues and stakeholders.
• Troubleshoot problems identified by users.
• Use automation tools like Ansible, Jenkins to automate use cases.
• Operate within Agile, XP, Kanban delivery frameworks.

Skills

IT experience

AI/ML

Programming

Education

Bachelor’s degree

Tools

Python

GitHub Actions

Docker

Kubernetes

Job description

CVS Health is offering a two-year Infrastructure Software Engineering Program (ISEP) to train candidates into full-stack automation engineers. The program is remote, welcomes IT-minded learners, and aims at developing automation, security, and cloud skills within a Fortune 6 company.

The role emphasizes hands-on coding, collaboration with product teams, and exposure to Agile/DevSecOps practices. Ideal for candidates with foundational IT experience and interest in GenAI and AI/ML applications.