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# Cloud Architect - Product Owner

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $92,700.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Cloud Platform System, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Data Pipelines, Docker
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3f3875498686bde6

## About the Role

* Minimum 5 years of experience in cloud engineering, architecture, or applied data/ML systems
 * Hands-on experience with GCP (e.g., Vertex AI, BigQuery, GKE, Cloud Functions) or equivalent platforms
 * Experience with design and implement scalable cloud architectures
 * Python programming experience
 * Experience building and deploying data pipelines, APIs, and/or ML solutions in production
 * Experience with containers and orchestration (Docker, Kubernetes)
 * Experience with Infrastructure as Code (Terraform preferred)
 * Experience operating across both technical execution and product-oriented thinking
 * 10% travel required, * Ability to operate at both strategic and hands-on levels
 * Strong product mindset with focus on delivering business outcomes
 * Excellent system design and architectural thinking
 * Effective stakeholder communication and cross-functional collaboration
 * Bias toward action, ownership, and end-to-end delivery
 * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, * Bachelor's degree

## Description

* Define and drive the technical roadmap aligned with product strategy and business priorities in a highly regulated environment
 * Translate product requirements into scalable, secure, and maintainable cloud architectures
 * Design, build, and deploy cloud-native solutions using GCP (preferred), AWS, or Azure
 * Act as a bridge between product, engineering, and stakeholders, shaping both "what" gets built and "how"
 * Lead the development of data, AI/ML, and application platforms in the cloud
 * Implement and operationalize end-to-end solutions, including data pipelines, APIs, and ML workflows
 * Establish and enforce best practices for cloud architecture, security, performance, and cost optimization
 * Drive MLOps/DevOps practices, including CI/CD, infrastructure as code, and monitoring
 * Own delivery of key features and platforms, ensuring they are production-ready, scalable, and measurable
 * Continuously evaluate emerging technologies and integrate innovations that accelerate product capabilities


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