Staff 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. Position Summary     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.     Key Responsibilities     • 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, GitLab 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     Required Qualifications     • 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, GitLab CI, or similar   • 3+ 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,