云与数据运维工程师

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