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

EVERSANA; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EVERSANA is seeking a Senior Google Cloud Platform Engineer to design, implement, and manage scalable, secure cloud infrastructure on GCP. You will work with development, DevOps, SRE, security, and architecture teams to deliver enterprise‑grade cloud platform solutions.

The role involves deploying AI‑powered cloud solutions, managing Terraform IaC, configuring networking and IAM, and building CI/CD pipelines with modern tooling.

Qualifications

• 5+ years of hands‑on experience in cloud infrastructure engineering, platform engineering, DevOps, or SRE.
• Strong production experience designing and managing enterprise‑scale GCP environments.

Responsibilities

• Design, build, and maintain scalable, secure GCP infrastructure.
• Deploy and optimize containerized workloads with GKE and Cloud Run.
• Develop reusable IaC using Terraform and automated deployment pipelines.
• Collaborate with cross‑functional teams to deliver cloud‑native solutions.

Skills

GCP

Vertex AI

GKE

Terraform

Cloud Run

IAM

CI/CD

Monitoring

Tools

Azure DevOps

GitHub Actions

GitLab CI

Job description

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.

ESSENTIAL DUTIES AND 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.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES

• 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.

CORE SKILLS

• 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
  • Azure DevOps
  • GitHub Actions
  • GitLab CI
• Monitoring & Operations
  • Cloud Monitoring
  • Cloud Logging
  • Incident Management
  • Root Cause Analysis
  • Performance Optimization
  • High Availability Architecture

PREFERRED QUALIFICATIONS

• 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

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.