Google Cloud Platform (GCP) Engineer | Vertex AI | GKE | Terraform

EVERSANA

About The Position

We are seeking a highly skilled Senior Google Cloud Platform (GCP) Engineer to join our Cloud Platform Engineering team. In this role, you will be responsible for designing, implementing, and managing scalable, secure, and automated cloud infrastructure on Google Cloud Platform (GCP). You will work closely with application development, DevOps, Site Reliability Engineering (SRE), security, and architecture teams to deliver enterprise-grade cloud platform solutions. The ideal candidate will possess strong hands-on experience in Google Cloud Platform, Kubernetes (GKE), Infrastructure as Code (Terraform), cloud networking, security, CI/CD automation, and AI-powered cloud services such as Vertex AI, Agent Builder, and Gemini Enterprise.

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

Nice To Haves

Google Professional Cloud Architect
Google Professional Cloud DevOps Engineer
Google Professional Cloud Security Engineer
Google Professional Machine Learning Engineer
Google Associate Cloud Engineer
Experience working in Healthcare or Life Sciences environments
Experience working in Agile and DevOps environments

Responsibilities

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.