GCP engineer

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

We are seeking a skilled GCP Platform Support Engineer with expertise in Site Reliability Engineering (SRE) and Continuous Integration/Continuous Deployment (CI/CD) practices. The ideal candidate will be responsible for ensuring the reliability, availability, and performance of our cloud-based applications and services on Google Cloud Platform (GCP). You will work closely with development teams to implement CI/CD pipelines, monitor system performance, and troubleshoot issues in a fast-paced environment.

• Provide technical support for GCP-based applications and services, ensuring high availability and performance
• Automate repetitive tasks and processes using scripting languages (e.g., Python, Bash) and Infrastructure as Code (IaC) tools (e.g., Terraform, Google Deployment Manager)
• Implement security best practices for cloud resources, including identity and access management (IAM), data encryption, and network
• Monitor and manage cloud resources, including virtual machines, containers, databases, and networking components
• Design, implement, and maintain CI/CD pipelines using tools such as Google Cloud Build, Jenkins, Git Lab CI, or similar
• Set up and manage monitoring and alerting systems using tools like Google Cloud Monitoring, Prometheus, or Grafana to ensure system health and performance
• Participate in incident response and post-mortem analysis to identify root causes and implement preventive measures
• SRE best practices, including service level objectives (SLOs), service level indicators (SLIs), and error budgets
• AI Platform Enablement:
  Build and maintain Google Cloud infrastructure and services that enable application engineers to develop, deploy, and scale AI agents, plugins/tools, and knowledge-based applications securely
• AI Integration & Governance:
  Enable integrations with LLMs, vector/knowledge stores, APIs, and enterprise plugins; establish reusable patterns, security controls, observability, and best practices for AI agent development.
• Work closely with development, QA, and operations teams to ensure smooth deployment and operation of applications
• Create and maintain documentation for system architecture, processes, and procedures

• 3+ years experience with Google Cloud Platform (GCP) services, including Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud Functions
• 3+ years experience with SRE principles and practices, including monitoring, incident management, and performance optimization
• 3+ years experienc with CI/CD tools and practices, including experience with Google Cloud Build, Jenkins, Git Lab CI, or similar
• 3+ years years e…xperience with container orchestration technologies such as Kubernetes and Docker
• 3+ years experience with scripting languages (e.g., Python, Bash) and with Infrastructure as Code (IaC) tools (e.g., Terraform, Google Deployment Manager)
• 3+ years e…xperience with monitoring and logging tools such as Google Cloud Monitoring, Prometheus, Grafana, or similar
• Strong analytical and troubleshooting skills with the ability to work under pressure
• Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
• Vertex AI, Gemini, Agent Development Kit (ADK), AI Agents, MCP/Plugins, RAG, Vector Search, Cloud Run, AI…