Google Cloud Platform Engineer – Vertex AI, GKE, Terraform

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EVERSANA

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare Insurance • Pharmaceuticals

EVERSANA is a comprehensive service provider focused on integrated commercial solutions for the life sciences industry. The company offers a wide range of services including advisory and management consulting, regulatory consulting, patient services, market access strategies, pricing and revenue management, medical affairs, and digital transformation. EVERSANA is known for its expertise in drug commercialization, enabling companies to effectively launch and manage pharmaceutical products. With a platform powered by data and analytics, EVERSANA addresses challenges related to drug pricing, market access, patient adherence, and product delivery, helping companies optimize their commercial strategies and enhance patient outcomes. The company emphasizes innovation and has been recognized for its use of AI and data analytics within the life sciences sector.

📋 Description

• Design, build, and maintain scalable, secure, and highly available infrastructure on Google Cloud Platform (GCP) • Design and implement AI-powered cloud solutions using Vertex AI, Agent Builder, and Gemini Enterprise • Deploy, manage, and optimize containerized workloads using Google Kubernetes Engine (GKE) and Cloud Run • Develop reusable Infrastructure as Code (IaC) using Terraform, including Terraform modules and automated deployment pipelines • Design and implement secure cloud networking including VPCs, Subnets, Firewall Rules, Private Service Connect, VPNs, DNS, and Load Balancers • Configure and manage IAM, Cloud Identity, Service Accounts, RBAC, and Workload Identity Federation • Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or GitLab CI • Monitor, troubleshoot, and optimize cloud infrastructure using Cloud Monitoring and Cloud Logging • Implement high availability, disaster recovery, and performance optimization strategies • Collaborate with application development, architecture, security, and DevOps teams to deliver cloud-native solutions • Participate in production support, incident management, root cause analysis, and continuous improvement initiatives • Stay up to date with emerging Google Cloud technologies, AI capabilities, and cloud best practices

🎯 Requirements

• 5+ years of hands-on experience in Cloud Infrastructure Engineering, Platform Engineering, DevOps, or Site Reliability Engineering (SRE) • Strong production experience designing and managing enterprise-scale Google Cloud Platform (GCP) environments • Google Cloud Platform (Mandatory) • Google Cloud Platform (GCP) • Vertex AI • Agent Builder / Agent Platform • Gemini Enterprise • Cloud Run • Cloud Functions • Cloud Storage • Cloud SQL • Compute Engine • VPC Networking • Load Balancing • Cloud Monitoring • Cloud Logging • Infrastructure as Code • Terraform • Terraform Modules • Terraform State Management • Infrastructure Automation • Containers & Kubernetes • Google Kubernetes Engine (GKE) • Kubernetes Administration • Docker • Helm Charts • Ingress Controllers • Container Security • Container Troubleshooting • Identity & Security • Cloud Identity • IAM • Service Accounts • Workload Identity Federation • RBAC Security Best Practices • Cloud Governance • Networking • VPC • Subnets • Firewall Rules • Private Service Connect • VPN • DNS • Hybrid Connectivity • Load Balancers • DevOps & CI/CD • Experience with one or more of the following: Azure DevOps, GitHub Actions, GitLab CI • Strong experience in: CI/CD Pipeline Design • Infrastructure Deployment Pipelines • Automated Deployments • Monitoring & Operations • Cloud Monitoring • Cloud Logging • Incident Management • Root Cause Analysis • Performance Optimization • High Availability Architecture

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities