Ovii Job Board

GCP Devops Engineer

FiftyFive Technologies

Gurugram, India • Onsite - Gurugram, India • Full-Time • 3-6 years

Posted 2026-06-26 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

We need a GCP DevOps Engineer to design, deploy, and operate Google Cloud infrastructure. You will build IaC with Terraform, create CI/CD pipelines, and ensure secure, scalable environments for our applications.

Role Snapshot

  • Design and deploy GCP infrastructure
  • Build IaC with Terraform
  • Create CI/CD pipelines
  • Manage Kubernetes clusters
  • Secure VPC networking

Must-Have Requirements

  • Google Kubernetes Engine (GKE)
  • Compute Engine
  • Cloud Run
  • Cloud Functions
  • VPC Networking
  • Terraform
  • CI/CD (Cloud Build or similar)
  • Docker
  • Kubernetes
  • Git
  • Linux
  • hands‑on GCP infrastructure design and deployment
  • Kubernetes and Terraform implementation

Nice-to-Have Signals

  • Vertex AI
  • BigQuery
  • Data Pipelines
  • Cloud Storage
  • Pub/Sub
  • Monitoring & Logging
  • Artifact Registry
  • Cloud SQL
  • Vertex AI, BigQuery, and data pipeline experience

Work Setup

  • Location: Gurugram, India
  • Work mode: ONSITE
  • Employment type: Full-Time

What You'll Likely Work On

  • Deploy and manage applications on GCP using GKE, Cloud Run, and Compute Engine
  • Build and maintain Infrastructure as Code with Terraform
  • Develop and operate CI/CD pipelines for automated releases
  • Configure VPC networking, security controls, and monitoring
  • Collaborate with development teams to ensure scalable, secure, and reliable cloud environments

Good Fit If You Have

  • Experience with Vertex AI or BigQuery
  • Familiarity with data pipelines and cloud storage services
  • Exposure to Pub/Sub, Cloud Monitoring, or Artifact Registry

Skills

  • Google Cloud Platform (GKE, Compute Engine, Cloud Run, Cloud Functions)
  • Terraform (IaC)
  • CI/CD (Cloud Build or similar)
  • Kubernetes & Docker
  • Git
  • Linux
  • VPC networking
  • Vertex AI (optional)
  • BigQuery (optional)
  • Data pipelines (optional)
  • Cloud Storage (optional)
  • Pub/Sub (optional)