Cloud & DataOps Engineer

Role Overview

Job Title: Cloud & DataOps Engineer
Work Mode : Remote
Function: Cloud Platform Engineering / Data Engineering
Seniority: Senior / Lead Engineer
Cloud Platform: Google Cloud Platform (GCP)
Primary Technologies: GCP, Terraform, Cloud Build, Python, BigQuery, Dataplex, Cloud Composer, Datastream, Power BI

Role Purpose

We are looking for an experienced Cloud & DataOps Engineer to build, automate, secure, and operate the Google Cloud data platform. The role will focus on Infrastructure as Code, CI/CD, environment management, security, observability, and FinOps across Development, Test, and Production environments.

Key Responsibilities

• Build and maintain reusable Terraform modules for GCP infrastructure, including VPC, VPC-SC, BigQuery, Cloud Storage, Composer, Datastream, Dataplex, IAM, KMS, and related services.
• Provision and maintain Dev, Test, and Production environments using consistent Infrastructure as Code patterns.
• Implement Terraform remote state, policy-as-code controls, and automated drift detection.
• Build and manage Cloud Build CI/CD pipelines for data ingestion, transformation, data quality rules, and semantic models.
• Implement automated unit, integration, infrastructure, and data-quality testing gates.
• Automate non-production environment refreshes with appropriate PII masking/tokenisation.
• Configure Cloud Logging, Cloud Monitoring, dashboards, SLA monitoring, and failure alerts.
• Implement FinOps controls, including billing exports to BigQuery, budgets, alerts, resource labelling, and cost reporting.
• Support cloud security hardening and remediation of infrastructure-level penetration-test findings.

Requirements

• 6+ years of experience in Cloud Infrastructure, Platform Engineering, DevOps, DataOps, or similar roles.
• Minimum 3+ years of hands-on GCP experience.
• Proven experience supporting production-grade cloud or enterprise data platforms.
• Strong understanding of cloud infrastructure, networking, security, CI/CD, and observability.
• Experience managing multiple environments such as Dev, Test, and Production.

Must-Have Skills

• Google Cloud Platform (GCP)
• Terraform, including module design, remote state, environment management, and policy-as-code
• Cloud Build / CI/CD
• Python for automation and tooling
• BigQuery and Cloud Storage
• GCP networking: Shared VPC, Private Service Connect, Private Google Access
• Security: IAM, KMS, Secret Manager, VPC Service Controls
• Cloud Logging and Cloud Monitoring
• Automated testing and deployment gates for data pipelines
• Git workflows, code reviews, branch protection, tagged releases, and rollback
• Container fundamentals: Docker, Cloud Run, GKE

Mandatory Certification

At least one of:

• Google Cloud Professional Cloud DevOps Engineer
• Google Cloud Associate Cloud Engineer

Good-to-Have Skills

• Cloud Composer
• Dataplex
• Datastream
• GKE / Kubernetes
• Cloud Interconnect and hybrid networking
• Data masking, tokenisation, and PII protection
• FinOps and GCP cost optimisation
• GCP Billing Export to BigQuery
• Power BI for cloud consumption and cost dashboards
• Penetration-test remediation and cloud security hardening
• GitHub Actions or GitLab CI/CD

Preferred Certifications

• HashiCorp Terraform Associate
• Google Cloud Professional Cloud Security Engineer

Ideal Candidate

A hands-on Senior Cloud/DataOps Engineer with strong GCP, Terraform, CI/CD, automation, networking, security, and observability expertise who can build and operate a secure, scalable, automated, and cost-efficient enterprise data platform.