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.

Originally posted on Himalayas