DevOps Senior Manager – CVS Job Openings


Website CVS

Position Summary:

CVS Health is the nation’s premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive and puts the consumer at the center of their care. The productization of data and analytics is one of the foundational pillars transforming and modernizing CVS Health.

Key Responsibilities:

  • Build automated environments in the cloud that transform data and perform ML operations, and optimize them for scale, security, and cost.
  • Secure applications running on Azure Cloud by following best practices (encryption, private vnets, auto key rotations, security scans etc.)
  • Perform root cause analysis on infrastructure related issues and engineer automated solutions for them, including writing risk analysis and handling incident management for systems.
  • Build, test and maintain CI/CD Pipelines using Jenkins, Gitlab, Nexus Repo, Checkmarx, and other similar tools.
  • Setup Monitoring and Alerting for applications running on Azure Cloud and integrate them with MiR3.
  • Keep up with new security vulnerabilities and perform necessary tasks to update and keep systems safe.
  • Design and Implement Disaster Recovery plan for applications running on Azure Cloud.
  • Participate in the technical design and planning of infrastructure with architects, engineers and product owners, and foster a culture of sharing, re-use, design for scalability, and operational efficiency.
  • Write infrastructure as code using Terraform to standup and update new and existing environments on Azure cloud.

Required Education & Experience:

  • Experience in the Healthcare Industry or Underwriting business domain.
  • Experience with Docker/Kubernetes and microservices
  • Experience in deploying ML models to production and managing model & artifact repository.
  • 5+ years experience writing infrastructure as code using Terraform or a similar orchestration tool.
  • Azure cloud experience or certification.
  • Experience with ML frameworks and Toolkits
  • 5+ years building CI/CD pipelines to automate deploying applications to different environments and performing security scans on them.
  • 3+ years experience with Python or a similar scripting language.