Lead Director, Cloud Platform & AI-Driven AWS

CVS Health

Hartford (CT)

On-site

USD 144,000 - 288,000

Full time

4 days ago
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Job summary

CVS Health is seeking a Lead Director for Cloud Platform Engineering within Digital Engineering. You will own multiple platform teams powering product delivery, setting AWS strategy, security posture, and cost management.

You will drive AI adoption and self-service tooling to accelerate development while ensuring governance and compliance. The role requires 10+ years in infrastructure, 7+ years leading engineering teams, and deep AWS expertise across services like Kafka MSK, PostgreSQL,

Qualifications

  • 10+ years of experience in infrastructure or platform engineering.
  • 7+ years of experience leading engineering teams, managers, and technical portfolios.
  • 5+ years of hands-on AWS at enterprise scale experience - compute, networking, IAM, and managed data/messaging services.

Responsibilities

  • Set cloud platform strategy and multi-year AWS roadmap with stakeholders.
  • Own AWS security architecture, landing zone design, and governance for regulatory compliance.
  • Lead AI adoption for engineering tools and platform operations with governance for velocity and compliance.
  • Drive CI/CD standards and Infrastructure-as-Code adoption across teams.
  • Run cloud cost as a managed portfolio with visibility and optimization targets.
  • Oversee observability, SLOs, incident management, and capacity planning across the platform.
  • Lead multiple engineering teams and managers, focusing on hiring and performance.

Skills

Cloud leadership
AWS expertise
DevOps practices
Architecture strategy
Executive communication

Education

Bachelor's degree

Tools

Terraform
CloudFormation
CDK
MSK
OpenSearch
RDS/Aurora
Lambda
Fargate

Job description

CVS Health is seeking a Lead Director for Cloud Platform Engineering within Digital Engineering. You will own multiple platform teams powering product delivery, setting AWS strategy, security posture, and cost management.

You will drive AI adoption and self-service tooling to accelerate development while ensuring governance and compliance. The role requires 10+ years in infrastructure, 7+ years leading engineering teams, and deep AWS expertise across services like Kafka MSK, PostgreSQL,

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