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GCP Cloud Architect

GCP Cloud Architect

Tredence Inc.
8-10 Years
Not Disclosed
  • Posted 7 hours ago
  • Be among the first 10 applicants

Job Description

Role Description

Job Description – GCP Cloud Architect (L4)

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).
  • Strong understanding of microservices, API design, and distributed systems.
  • 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.

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