Manager, Cloud and Data Platform Engineer

CVS Health • Island, KY

4d • $54,300 - $145,860

About The Position

The Manager, Cloud and Data Platform Engineer owns the Retail Resource Center’s application and data technology stack in Google Cloud. The role focuses on managing application deployment, cloud infrastructure, and data pipelines across Cloud Run, Kubernetes (GKE), Redis, BigQuery, and other Google Cloud services to support reliable releases, system stability, scalability, trusted analytics, and operational efficiency. It also uses AI to accelerate development and automation, including developing AI agents.

The position manages the platform’s architecture, availability, performance, and lifecycle; CI/CD and release practices; data ingestion, transformation, governance, quality, and observability; infrastructure as code; security; monitoring; and production incident response. It collaborates with software engineering, security, operations, analysts, product owners, and business stakeholders to deliver reliable services and trusted data. The role participates in an on-call rotation and contributes to technical roadmaps and continued platform improvement.

Requirements

• At least 3 years of experience in DevOps, site reliability, cloud, platform, or data engineering, including hands-on production experience with Google Cloud Platform (Cloud Run, GKE, Redis, and BigQuery) and building or supporting production data pipelines.
• Working knowledge of Google Cloud services, including Cloud Run, GKE, Redis, BigQuery, and IAM.
• Strong understanding of Kubernetes and Docker.
• Experience with infrastructure as code and CI/CD pipelines.
• Proficiency in at least one scripting or programming language, such as Python, and strong SQL skills.
• Experience leveraging AI tools to support development and automation.
• Experience designing and operating data pipelines and ETL/ELT workflows, including orchestration, data modeling, and data quality practices.
• Strong problem-solving, troubleshooting, and decision-making skills.
• Clear written and verbal communication skills.

Nice To Haves

• Google Cloud certification, such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Data Engineer.
• Experience with GitOps tooling, event-driven architectures, or API gateways.
• Experience with Cloud Composer/Airflow and BI tools such as PowerBI.
• Experience developing AI agents to automate workflows and accelerate delivery.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Responsibilities

• Own the architecture, availability, performance, and lifecycle management of the Google Cloud application and data stack, including Cloud Run, GKE, Redis, BigQuery, Cloud Composer, Cloud Storage, Cloud SQL, Secret Manager, and Artifact Registry.
• Manage code deployment and release processes, and design, build, and maintain CI/CD pipelines for application and data workloads using tools such as Cloud Build and GitHub Actions.
• Oversee containerization, configuration management, and container image lifecycle management.
• Design, build, and maintain batch and streaming data pipelines that ingest data into BigQuery.
• Develop and manage the BigQuery analytics data layer, including dataset design and SQL-based transformations for reporting and analysis.
• Implement data quality checks, schema management, lineage, and pipeline observability; define and monitor data freshness and reliability targets; troubleshoot failed or delayed data loads.
• Apply data governance and security controls, including dataset- and column-level access, sensitive-data handling, and retention policies aligned with company privacy and compliance standards.
• Partner with analysts, product owners, and business stakeholders to translate reporting needs into reliable datasets and dashboards and support self-service access to trusted data.
• Define and manage infrastructure as code using version-controlled, peer-reviewed changes; automate provisioning, environment setup, and routine operational tasks across development, staging, and production.
• Implement monitoring, logging, tracing, and alerting for applications, infrastructure, and data pipelines; define and track service levels and build platform health and performance dashboards.
• Lead incident response, root cause analysis, and post-incident reviews; participate in an on-call rotation and develop runbooks and operating procedures.
• Manage IAM roles, service accounts, network configuration, secrets, and vulnerability scanning; partner with security teams on audits and remediation.
• Plan capacity, autoscaling, backup, and disaster recovery for applications and data stores.
• Collaborate with software engineering, security, and operations teams to understand requirements, answer cloud architecture and deployment questions, and solve technical challenges.
• Use AI to accelerate development and automation across application, infrastructure, and workloads; develop AI agents to automate workflows and operational tasks.
• Evaluate Google Cloud services, tools, and practices and contribute technical input to roadmap and strategic planning sessions.
• Pursue professional development, training, and certifications and explore tools and techniques that improve platform reliability and engineering efficiency.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility
• CVS Health bonus, commission, or short-term incentive program, in addition to base pay, for eligible positions

What This Job Offers

• Job Type: Full-time
• Career Level: Manager