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Cloud Infrastructure Engineer

Cloud Infrastructure Engineer

ParadigmITHyderabad, Republic Of India, IN
30+ days ago
Job description

Job description

Google Cloud Platform DevOps Engineer

ParadigmIT is seeking a seasoned GCP DevOps Engineer to design implement and manage scalable secure and resilient infrastructure on Google Cloud Platform GCP.

The ideal candidate will have deep expertise in DevOps, CI / CD Infrastructure as Code IaC container orchestration and cloud security.

Key Responsibilities

  • Build scalable, secure, and highly available infrastructures using GCP services such as Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery and Cloud Storage
  • Develop and maintain CI / CD pipelines using tools like Jenkins GitLab CI or Cloud Build
  • Automate infrastructure provisioning using Terraform Google Cloud Deployment Manager or similar IaC tools
  • Design and deploy AI / ML pipelines leveraging Google AI Services, including model training, evaluation, deployment, and monitoring with platforms like Vertex AI.
  • Manage containerized applications using Docker and Kubernetes GKE
  • Monitor system performance and ensure high availability using tools like Prometheus Grafana and Google Cloud Observability
  • Implement and enforce cloud security best practices including IAM encryption and secure coding
  • Collaborate with cross-functional teams to streamline deployments and troubleshoot issues
  • Optimize cloud costs and resource utilization
  • Document infrastructure deployment processes and operational procedures

Required Skills Qualifications

  • Minimum 5 years of hands-on experience with GCP including compute, storage, networking, database, security, and AI services
  • Skilled in Python, Go, or Bash;
  • proficient in containerization (Kubernetes, Docker);
  • adept in monitoring andtroubleshooting across stack.

  • Strong knowledge in cloud architecture is a big plus
  • Experience architecting and deploying AI / ML solutions;
  • deep understanding of the AI lifecycle, tools, and Google AI service offerings.

  • Strong understanding of cloud networking security and DevOps methodologies
  • Experience with monitoring and logging tools Google Cloud Observability Prometheus Grafana
  • Familiarity with version control systems like Git
  • Strong leadership, communication, problem solving with a proactive and collaborative approach to continuous learning
  • Preferred Certifications

  • Google Cloud Professional Cloud DevOps Engineer
  • Google Cloud Professional Cloud Architect

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    Cloud Infrastructure Engineer • Hyderabad, Republic Of India, IN

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