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Urgent! ParadigmIT Technology - GCP DevOps Engineer Job Opening In Hyderabad – Now Hiring PARADIGMIT TECHNOLOGY SERVICES PRIVATE LIMITED

ParadigmIT Technology GCP DevOps Engineer



Job description

<p><p><b>Google Cloud Platform DevOps Engineer</b><br/><br/>ParadigmIT is seeking a seasoned GCP DevOps Engineer to design implement and manage scalable secure and resilient infrastructure on Google Cloud Platform GCP.<br/><br/> The ideal candidate will have deep expertise in DevOps, CI/CD Infrastructure as Code IaC container orchestration and cloud Responsibilities :</b></p><p><br/>- Build scalable, secure, and highly available infrastructures using GCP services such as Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery and Cloud Storage<br/><br/>- Develop and maintain CI/CD pipelines using tools like Jenkins GitLab CI or Cloud Build<br/><br/>- Automate infrastructure provisioning using Terraform Google Cloud Deployment Manager or similar IaC tools<br/><br/>- Design and deploy AI/ML pipelines leveraging Google AI Services, including model training, evaluation, deployment, and monitoring with platforms like Vertex AI.<br/><br/>- Manage containerized applications using Docker and Kubernetes GKE<br/><br/>- Monitor system performance and ensure high availability using tools like Prometheus Grafana and Google Cloud Observability<br/><br/>- Implement and enforce cloud security best practices including IAM encryption and secure coding<br/><br/>- Collaborate with cross-functional teams to streamline deployments and troubleshoot issues<br/><br/>- Optimize cloud costs and resource utilization<br/><br/>- Document infrastructure deployment processes and operational Skills Qualifications :</b></p><p><br/>- Minimum 5 years of hands-on experience with GCP including compute, storage, networking, database, security, and AI services<br/><br/>- Skilled in Python, Go, or Bash; proficient in containerization (Kubernetes, Docker); adept in monitoring and troubleshooting across stack.<br/><br/>- Strong knowledge in cloud architecture is a big plus<br/><br/>- Experience architecting and deploying AI/ML solutions; deep understanding of the AI lifecycle, tools, and Google AI service offerings.<br/><br/>- Strong understanding of cloud networking security and DevOps methodologies<br/><br/>- Experience with monitoring and logging tools Google Cloud Observability Prometheus Grafana<br/><br/>- Familiarity with version control systems like Git<br/><br/>- Strong leadership, communication, problem solving with a proactive and collaborative approach to continuous learning</p><p><br/></p><p><b>Preferred Certifications :</b><br/><br/>- Google Cloud Professional Cloud DevOps Engineer<br/><br/>- Google Cloud Professional Cloud Architect</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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