GCP Platform Infrastructure Engineer

Qualification : Any Graduate or Above

Relevant Experience : 6 - 10 years

About the Role :

We are looking for an experienced GCP Platform Infrastructure Engineer with strong hands-on expertise in Google Cloud Platform (GCP) infrastructure, cloud security, networking, Infrastructure as Code (IaC), and workload management. The ideal candidate will be responsible for designing, implementing, automating, and maintaining secure, scalable, and highly available cloud infrastructure environments.

The candidate should have practical experience with Terraform, CI/CD automation, GCP security architecture, and at least two of the specified GCP workload technologies.

Key Responsibilities :

1. GCP Foundations, Security, and Networking :

- Design, implement, and manage GCP foundational infrastructure, including identity management, federation, IAM, and access controls.

- Implement security best practices for network security, virtual machine security, secrets management, and encryption.

- Manage encryption keys and security policies using Google Cloud Key Management Service (Cloud KMS).

- Design and configure GCP networking components, including VPC topology, VPC Peering, VPN, Cloud DNS, and firewall rules.

- Implement secure network architectures and enforce security controls across cloud environments.

- Design and maintain secure, isolated, multi-tenant GCP environments.

- Monitor infrastructure security, troubleshoot connectivity issues, and ensure compliance with organizational security standards.

2. Infrastructure as Code (IaC) and Automation :

- Develop, maintain, and manage GCP infrastructure using Infrastructure as Code principles.

- Build reusable, scalable, and production-ready Terraform modules for provisioning and managing cloud resources.

- Automate infrastructure deployment, configuration, and lifecycle management.

- Implement CI/CD pipelines for repeatable and reliable infrastructure deployments.

- Use tools such as Google Cloud Build and GitHub to manage infrastructure code and deployment workflows.

- Implement version control, code reviews, testing, and validation for infrastructure changes.

- Identify opportunities to improve infrastructure automation, operational efficiency, and deployment consistency.

3. GCP Workload Deployment and Management :

- Deploy, configure, and manage workloads across relevant GCP services, with hands-on expertise in at least two of the following areas :

1. Google Kubernetes Engine (GKE) : Manage Kubernetes clusters, container orchestration, Standard and Autopilot modes, node pools, and workload availability.

2. Google Compute Engine (GCE) : Provision and manage virtual machines, compute resources, networking, and associated security configurations.

3. Google Cloud VMware Engine (GCVE) : Support VMware-based workloads and cloud infrastructure management.

4. Cloud Run / Cloud Functions : Deploy and manage serverless applications and event-driven workloads.

- Ensure high availability, scalability, reliability, and performance of deployed workloads.

- Troubleshoot infrastructure and workload issues and implement appropriate resolutions.

- Follow cloud infrastructure best practices for monitoring, resource optimization, and operational support.

Required Skills and Qualifications :

- 6 - 10 years of relevant experience in cloud infrastructure engineering, platform engineering, or cloud operations.

- Strong hands-on experience with Google Cloud Platform (GCP).

- Expertise in GCP foundations, IAM, identity federation, access management, and cloud security.

- Strong knowledge of GCP networking, including VPCs, VPC Peering, VPN, Cloud DNS, and firewall configurations.

- Experience implementing security controls for virtual machines, networks, secrets, encryption keys, and multi-tenant environments.

- Strong understanding of Infrastructure as Code (IaC) principles.

- Hands-on experience developing and deploying reusable Terraform modules for production environments.

- Experience implementing CI/CD workflows using Cloud Build, GitHub, or similar tools.

- Practical experience with at least two of the following GCP workload areas :

1. Google Kubernetes Engine (GKE)

2. Google Compute Engine (GCE)

3. Google Cloud VMware Engine (GCVE)

4. Cloud Run / Cloud Functions

- Strong troubleshooting, analytical, and problem-solving skills.

- Ability to collaborate effectively with development, security, and infrastructure teams.