GCP Cloud Architect

Function: Digital Engineering

Role Level: Cloud Architect – GCP (L4)

Location: Offshore

Role Overview

The GCP Cloud Architect (L4) is responsible for defining and leading the architecture of enterprise-scale cloud platforms on Google Cloud Platform (GCP). This role requires deep expertise in GCP services, Kubernetes (GKE), and cloud-native architectures. The architect will drive design standards, scalability, security, and innovation across cloud ecosystems while enabling engineering teams to build resilient and high-performing solutions.

Key Responsibilities

· Define and own end-to-end cloud architecture for distributed systems on GCP.

· Architect scalable, secure, and high-availability solutions using core GCP services.

· Design and implement Kubernetes-based platforms using GKE for microservices and containerized workloads.

· Lead architecture for CI/CD, infrastructure automation, and DevSecOps practices.

· Drive infrastructure design using Infrastructure as Code (Terraform).

· Establish best practices for cloud networking, IAM, security, and governance.

· Architect microservices, API-first, and event-driven systems.

· Define observability frameworks including logging, monitoring, and tracing.

· Collaborate with application, data, and AI/ML teams to design cloud-native solutions.

· Provide technical leadership, mentorship, and governance across engineering teams.

· Drive cost optimization, performance tuning, and reliability improvements.

· Support adoption of modern engineering practices such as SRE, GitOps, and automation.

Required Skills and Experience

· 8–10 years of experience in cloud architecture, platform engineering, or DevOps roles.

· Strong expertise in GCP architecture and core GCP services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, VPC).

· Hands-on experience with Kubernetes and Google Kubernetes Engine (GKE).

· Proven experience designing scalable, resilient, and secure cloud-native applications.

· Expertise in Infrastructure as Code (Terraform).

· Knowledge of CI/CD pipelines and DevSecOps practices.

· Deep understanding of cloud networking, RBAC, identity, secrets, policies, and zero-trust principles.

· Experience in observability tools and practices (monitoring, logging, tracing).

· Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

· Google Cloud Professional Cloud Architect certification.

· Experience with GenAI application architecture on GCP.

· Hands-on experience with Vertex AI and AI/ML solution design.

· Familiarity with data engineering and analytics workloads on GCP.

· Experience with GitOps tools and SRE practices.