GCP DevOps Engineer

21 hours ago

Hyderabad, India ParadigmIT Full time

Role: GCP DevOps Engineer (AI/ML Experience is Mandate)

Experience: 5 to 8 Years

Location: Hyderabad


Key Responsibilities

  • Build scalable, secure, and highly available infrastructures using GCP services such as Compute Engine, Kubernetes Engine, Cloud Functions, Big Query 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 and troubleshooting 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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