GCP Platform Architect

Key Responsibilities

• Architect, design, and oversee enterprise-scale platforms on Google Cloud Platform (GCP).

• Lead platform engineering initiatives and provide technical direction to multiple development teams.

• Define and implement DevOps best practices, automation strategies, and CI/CD pipelines across the organization.

• Build and manage scalable infrastructure using Infrastructure as Code (IaC) tools such as Terraform.

• Design and implement MLOps platforms to support machine learning model development, deployment, monitoring, and lifecycle management.

• Develop secure, highly available, and cost-optimized cloud architectures following Google Cloud best practices.

• Establish governance, security, compliance, monitoring, and operational standards for cloud platforms.

• Partner with engineering, data, AI/ML, security, and infrastructure teams to ensure seamless platform integration.

• Mentor engineers and technical leads while driving architectural reviews and engineering standards.

• Optimize platform performance, reliability, observability, and operational efficiency.

• Evaluate emerging cloud technologies and recommend improvements to enhance platform capabilities.

Required Qualifications

• 10–15 years of overall IT experience with at least 5+ years designing and architecting solutions on Google Cloud Platform (GCP).

• Deep expertise in core GCP services including:

  • Compute Engine

  • Google Kubernetes Engine (GKE)

  • Cloud Run

  • Cloud Storage

  • Cloud SQL

  • BigQuery

  • Pub/Sub

  • IAM

  • VPC Networking

• Strong experience designing and implementing enterprise CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build.

• Extensive hands-on experience with DevOps practices, automation, containerization, and Kubernetes.

• Strong experience building and managing MLOps platforms using Vertex AI or similar machine learning platforms.

• Expertise in Infrastructure as Code using Terraform.

• Strong knowledge of Docker, Kubernetes, Helm, and cloud-native application architectures.

• Experience implementing monitoring and observability using Cloud Monitoring, Prometheus, Grafana, or similar tools.

• Strong understanding of cloud security, IAM, networking, governance, and compliance.

• Excellent troubleshooting, performance optimization, and platform reliability skills.

• Proven ability to lead cross-functional technical teams and influence architectural decisions.

Preferred Qualifications

• Google Cloud Professional Cloud Architect certification.

• Google Professional DevOps Engineer certification.

• Experience with Vertex AI and enterprise AI/ML workloads.

• Experience implementing GitOps practices using ArgoCD or Flux.

• Familiarity with multi-cloud or hybrid cloud environments.

• Experience working in Agile/Scrum environments.

Key Skills

• Google Cloud Platform (GCP)

• Platform Architecture

• DevOps

• MLOps

• CI/CD

• BigQuery

• Vertex AI

• Kubernetes (GKE)

• Docker

• Terraform

• Cloud Build

• GitHub Actions

• Jenkins

• GitLab CI

• Infrastructure as Code (IaC)

• Cloud Security

• Observability & Monitoring

• Platform Governance

• Technical Leadership

• Enterprise Architecture