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Spydra - Google Cloud Platform Architect

Spydra - Google Cloud Platform Architect

SpydraHyderabad
15 hours ago
Job description

About the Role :

We are looking for a highly skilled Google Cloud Platform (GCP) Expert to design, implement, and manage our cloud infrastructure and services. The ideal candidate will have deep expertise in GCP tools, cloud-native architectures, and modern DevOps practices. You will work closely with engineering, security, and product teams to ensure scalability, reliability, and compliance of our cloud environment.

Key Responsibilities :

Architecture & Design :

  • Design and implement secure, scalable, and cost-optimized GCP cloud architectures.
  • Evaluate and recommend GCP services (e.g., BigQuery, Pub / Sub, GKE, Cloud SQL, Vertex AI) for business use cases.
  • Build CI / CD pipelines and Infrastructure as Code (IaC) using Terraform, Deployment Manager, or similar tools.

Cloud Operations :

  • Manage and optimize GCP infrastructure including Compute Engine, Kubernetes Engine, Cloud Storage, and Networking.
  • Implement monitoring, alerting, and observability using Cloud Monitoring, Cloud Logging, and third-party tools.
  • Ensure high availability, disaster recovery, and data backup & Compliance :
  • Implement Identity and Access Management (IAM) policies, VPC Service Controls, and encryption standards.
  • Ensure compliance with regulations (SOC2, ISO27001, HIPAA, GDPR, etc.) by leveraging GCPs security features.
  • Conduct security reviews and remediate :
  • Work with developers, data engineers, and AI / ML teams to build and scale applications on GCP.
  • Partner with finance teams for cloud cost optimization and budgeting.
  • Mentor junior engineers on GCP best practices.
  • Required Skills & Qualifications :

    Technical Expertise :

  • 4+ years of experience with cloud platforms, with at least 3+ years focused on Google Cloud Platform .
  • Strong knowledge of Compute (GCE, GKE), Storage, Networking (VPC, Cloud Interconnect, Load Balancers) , and Security (IAM, KMS, Shielded VMs) .
  • Proficiency with BigQuery, Dataflow, Pub / Sub, Cloud Functions , and modern data / AI services.
  • Hands-on experience with Terraform / Ansible , CI / CD pipelines, and DevOps practices.
  • Knowledge of container orchestration (Kubernetes, GKE) and serverless Skills :
  • Strong problem-solving and troubleshooting skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Excellent communication and documentation (Preferred) :
  • Google Professional Cloud Architect
  • Google Professional Data Engineer
  • Google Professional Cloud Security Engineer
  • (ref : hirist.tech)

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