Job Description:
• 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:
• 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:
• 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