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EVERSANA

EVERSANA describes itself as the leading provider of global commercial services for the life sciences industry. The company’s solutions are designed to manage

Google Cloud Platform Engineer – Vertex AI, GKE, Terraform

Location

India

Posted

2 days ago

Salary

0

Seniority

Senior

Job Description

Google Cloud Platform Engineer – Vertex AI, GKE, Terraform

EVERSANA

• 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

Job 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

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