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# DevOps Engineer (Remote)

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $79,310.0 - $158,620.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Continuous Integration, Data as a Services, Data Infrastructure, DevOps, Github, Identity and Access Management, Python (Programming Language), Power BI, Cloud Services, Prometheus, TypeScript, Datadog, Data Logging, Pulumi, Scripting, Containerization, Gitlab-ci, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Functional Programming, Cloudwatch, Terraform, Data Pipelines, Docker, Jenkins, Databricks
- **Published:** July 3, 2026
- **Apply:** https://dejobs.org/x/x/996C1CEADBA844C688F2D16295A0F9E6/job/

## About the Role

* 3-5 years of hands-on experience in DevOps, platform automation, or related engineering roles
 * Proficiency in Python and TypeScript
 * Strong knowledge of Git workflows and branching strategies
 * Experience with Pulumi and/or Terraform for cloud and data platform automation
 * Solid understanding of AWS cloud services (IAM, S3, CloudWatch, Lambda, QuickSight, etc.)
 * Experience provisioning and managing Databricks resources and automating deployments
 * Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI)
 * Strong problem-solving, troubleshooting, and communication skills

Preferred Qualifications

 * Experience with containerization and orchestration (Docker, Kubernetes)
 * Knowledge of AWS Glue, Redshift, or other data services
 * Exposure to monitoring and logging tools (Datadog, Prometheus, etc.), * Bachelor's degree preferred in Computer Science, Engineering, Math, Statistics, or a related field or equivalent work experience.

## Description

We are seeking a skilled DevOps Engineer to support and scale our AWS- and Databricks-based data platform. This role will focus on infrastructure automation, CI/CD, environment management, and enabling rapid, secure delivery of data pipelines, analytics, and dashboards. The ideal candidate will be fluent in automation scripting, cloud provisioning, and DevOps best practices, with experience in both AWS services and Databricks workspace management.


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