GCP Cloud Architect

Quantum Integrators; Nagpur District; On-site; INR 400,000 - 700,000; Full time

Job summary

Quantum Integrators is seeking a senior GCP Cloud Architect to design, deploy, and support scalable cloud-native solutions on Google Cloud Platform. The role focuses on Vertex AI, BigQuery, Cloud Storage, and Kubernetes-driven architectures, with Terraform-based IaC and CI/CD automation.

You will lead end-to-end cloud deployments, optimize performance and costs, and collaborate with cross-functional teams to ensure secure, compliant operations in an onsite Pune/Nagpur work setup.

Qualifications

• 8+ years of hands-on experience designing and deploying cloud-native solutions on GCP.
• Expertise with Vertex AI, BigQuery, Cloud Storage, Cloud Run, Composer, Pub/Sub, Kubernetes, Terraform.
• Strong Python scripting, CI/CD automation, and IaC practices.

Responsibilities

• Design, implement, and support scalable cloud-native applications and platforms on GCP.
• Build data and AI/ML solutions using Vertex AI and BigQuery.
• Develop IaC with Terraform and automate deployments via CI/CD pipelines.
• Deploy and manage containerized workloads with Docker, Kubernetes, and Cloud Run.
• Ensure security, governance, observability, and cost optimization.

Skills

Vertex AI

BigQuery

Cloud Storage

Composer

Pub/Sub

Python scripting

CI/CD pipelines

Monitoring & Observability

Compute Engine

Cloud Functions

Kubernetes

Tools

Kubernetes

Terraform

Docker

Cloud Run

GitHub Actions

Job description

Location: Pune/Nagpur, MH (Onsite, Work from office; 5 days a week)

Shift Time: UK/EST Shift (04.00 PM to 01.00 AM IST / 06.30 PM to 03.30 AM IST)

Role Overview

We are seeking a highly skilled GCP Cloud Architect with 8+ years of experience in designing, deploying, and supporting cloud-native solutions on Google Cloud Platform (GCP). The ideal candidate should have strong hands‑on expertise in Vertex AI, BigQuery, Cloud Storage, Cloud Run, Composer, Pub/Sub, Kubernetes, Terraform, and CI/CD automation.

Key Responsibilities

• Design, implement, and support scalable cloud-native applications and platforms on GCP.
• Build and manage data and AI/ML solutions using Vertex AI, BigQuery, Cloud Storage, and Cloud Composer.
• Develop Infrastructure as Code (IaC) using Terraform and automate deployments through CI/CD pipelines.
• Deploy and manage containerized workloads using Docker, Kubernetes, and Cloud Run.
• Monitor, troubleshoot, and optimize cloud infrastructure for performance, reliability, security, and cost efficiency.
• Implement observability, logging, monitoring, and alerting solutions.
• Support GenAI, AI/ML, and automation initiatives leveraging Vertex AI and Gemini.
• Collaborate with cross-functional teams to deliver secure and scalable cloud solutions.
• Ensure adherence to cloud security, governance, and operational best practices.

Required Skills & Experience

• Vertex AI, BigQuery, Cloud Storage, Composer, Pub/Sub
• Cloud Run, Compute Engine, Cloud Functions
• Terraform and Infrastructure as Code (IaC)
• Python scripting and automation
• GitHub Actions, CI/CD pipelines
• Monitoring and Observability tools

Preferred Certifications

• Google Cloud Professional Cloud Architect
• Google Cloud Professional Data Engineer
• Kubernetes and Cloud Native Associate (KCNA) or equivalent

Company’s Website: https://www.quantumintegrators.com/

Company’s LinkedIn Profile: https://www.linkedin.com/company/quantum-integrators-group-llc/