Interesting Job Opportunity: Architect - Google Cloud Platform

0 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Mandatory Skill

: Exp in GCP Architects role with Data Science exposure.

Job Title :

GCP Architect with AI Expertise

About The Role

We are looking for a GCP Architect with AI Expertise to lead the design, implementation, and optimization of cloud and AI-driven solutions on Google CloudPlatform (GCP). This role requires deep expertise in cloud infrastructure, AI/ML, networking, and security.You will be responsible for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments.If you have a passion for cloud transformation, AI, and solving complex infrastructure challenges, this is the perfect opportunity for you.

Key Responsibilities

Cloud & AI Solution Architecture :

  • Design and implement scalable, secure, and cost-effective architectures on GCP.
  • Develop AI/ML-driven solutions using Vertex AI, BigQuery ML, TensorFlow, and AutoML.
  • Architect end-to-end data pipelines to support AI model training, deployment, and monitoring.
  • Build high-availability, backup, and disaster recovery solutions in GCP.

Infrastructure & Security

  • Implement identity management, IAM policies, security protocols, and network segmentation.
  • Design and automate provisioning of networks, firewalls, ACLs, and access control policies.
  • Ensure compliance with security and governance frameworks for cloud-based AI workloads.
  • Manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations.

Cloud Migration & DevOps

  • Lead large-scale application and network migrations to GCP (Cloud Load Balancing, DNS, CDN, Interconnect, GKE, etc.).
  • Develop Terraform-based infrastructure automation and manage Infrastructure as Code (IaC).
  • Implement CI/CD pipelines for AI/ML workloads using GitHub, Jenkins, and Ansible.
  • Design DevOps solutions with cloud-native tools and containerized workloads on GKE.

Technical Leadership & Advisory

  • Provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization.
  • Lead requirements gathering, solution design, and implementation for GCP cloud-based AI
solutions.
  • Support pre-sales activities, including POCs, RFP responses, and SOW creation.
  • Mentor and provide technical oversight to engineering teams.
  • Serve as a trusted cloud advisor for customers, solving complex cloud infrastructure and AI challenges.

Performance Optimization & Analytics

  • Optimize cloud resource usage, cost management, and AI model performance.
  • Conduct cloud usage analytics, security audits, and AI model monitoring.
  • Develop strategies to improve network reliability, redundancy, and high availability.
(ref:hirist.tech)

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