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Manager, Cloud and Data Platform Engineer
CVS HealthCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Google Cloud technologies, including Cloud Run, GKE, and BigQuery, while ensuring data governance and security. Proficient in designing and maintaining CI/CD pipelines and data workflows, with strong problem-solving and communication skills.
Highest-signal resume keywords
Google Cloud PlatformCI/CD PipelinesBigQueryKubernetesData Governance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own the application and data technology stack in Google Cloud, including architecture, availability, performance, and lifecycle management
- Manage Cloud Run services, GKE clusters, Redis databases, BigQuery datasets, and supporting Google Cloud services
- Design, build, and maintain CI/CD pipelines for application and data workloads
- Oversee containerization, configuration management, and container image lifecycle management
- Design, build, and maintain batch and streaming data pipelines into BigQuery
- Develop and manage the BigQuery analytics data layer, including datasets and SQL-based transformations
- Implement data quality checks, schema management, lineage, observability, freshness targets, and reliability monitoring
- Apply data governance and security controls, including access controls, sensitive-data handling, and retention policies
- Partner with analysts, product owners, and business stakeholders to create reliable datasets and dashboards
- Define and manage infrastructure as code and automate provisioning, environment setup, and operational tasks
- Implement monitoring, logging, tracing, alerting, service-level tracking, and platform health dashboards
- Lead incident response, root cause analysis, post-incident reviews, on-call activities, runbook development, and operating procedures
- Manage IAM roles, service accounts, network configuration, secrets, and vulnerability scanning
- Plan capacity, autoscaling, backups, and disaster recovery
- Collaborate with software engineering, security, and operations teams on cloud architecture and technical solutions
- Leverage AI to accelerate development and automation
- Develop AI agents to automate workflows and operational tasks
- Evaluate Google Cloud services and contribute to roadmap and strategic planning
Requirements
What you’ll need- 3+ years of experience in DevOps, site reliability, cloud, platform, or data engineering
- Hands-on production experience with Google Cloud Platform, including Cloud Run, GKE, Redis, and BigQuery
- Experience building or supporting production data pipelines
- Working knowledge of 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
- Strong SQL skills
- Experience leveraging AI tools for 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
- Bachelor's degree in Computer Science, Information Technology, or a related field preferred, or equivalent practical experience
- Google Cloud certification preferred
- Experience with GitOps tooling, event-driven architectures, or API gateways preferred
- Experience with Cloud Composer/Airflow and BI tools such as PowerBI preferred
- Experience developing AI agents preferred
Benefits
Comp & perks- CVS Health bonus, commission or short-term incentive program in addition to base pay
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being, based on eligibility
- Professional development, training, and certifications
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud RunGKERedisSQLPythonInfrastructure As CodeData PipelinesETL/ELT WorkflowsAI ToolsContainerization
Soft Skills
Problem-SolvingTroubleshootingDecision-MakingClear Communication
Tools & Technologies
Cloud ComposerAirflowPowerBIGitOps ToolingAPI Gateways
Certifications & Qualifications
Google Cloud Certification
Industry Keywords
DevOpsSite ReliabilityData EngineeringCloud ArchitectureOperational Tasks