Padmi

Senior Cloud & DevOps Engineer GCP & AI Infrastructure- 5 to 10 years with

MumbaiPosted 2 months ago
Infrastructure And DatabasesSeniorFull Time; Regular

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Exp- 5 to 10 years CTC- Max- 16 LPA Location- Mumbai Required Skills & Qualification sMandatory Skill s510 years of experience in Cloud Infrastructure, DevOps, or Platform Engineering .Strong hands-on experience with Google Cloud Platform (GCP ) .Expertise in Google Kubernetes Engine (GKE ) and Kubernetes administration .Experience with Docker and container orchestration .Strong Infrastructure as Code experience using Terrafor m .Experience in cloud automation and CI/CD implementation .Hands-on experience with monitoring and observability platforms .AI Infrastructure Skill sExperience supporting AI/ML infrastructure and production AI workloads .Understanding of LLMOps, MLOps, and AI deployment frameworks .Knowledge of GPU infrastructure and cloud cost optimization strategies .Experience working with Generative AI platforms is highly preferred .SRE & Monitoring Skill sExperience with tools such as :Prometheu sGrafan aDatado gCloud Monitorin gELK Stac kStrong understanding of reliability engineering principles .Preferred Skill sExperience with Cloud Run and other GCP-native services .Exposure to Python, Go, Bash, or scripting languages .Experience with AI-assisted coding tools (Cursor AI, Claude, GitHub Copilot) .Knowledge of cloud security best practices .Experience in large-scale distributed systems . Exp- 5 to 10 years CTC- Max- 16 LPA Location- Mumbai Required Skills & Qualification sMandatory Skill s510 years of experience in Cloud Infrastructure, DevOps, or Platform Engineering .Strong hands-on experience with Google Cloud Platform (GCP ) .Expertise in Google Kubernetes Engine (GKE ) and Kubernetes administration .Experience with Docker and container orchestration .Strong Infrastructure as Code experience using Terrafor m .Experience in cloud automation and CI/CD implementation .Hands-on experience with monitoring and observability platforms .AI Infrastructure Skill sExperience supporting AI/ML infrastructure and production AI workloads .Understanding of LLMOps, MLOps, and AI deployment frameworks .Knowledge of GPU infrastructure and cloud cost optimization strategies .Experience working with Generative AI platforms is highly preferred .SRE & Monitoring Skill sExperience with tools such as :Prometheu sGrafan aDatado gCloud Monitorin gELK Stac kStrong understanding of reliability engineering principles .Preferred Skill sExperience with Cloud Run and other GCP-native services .Exposure to Python, Go, Bash, or scripting languages .Experience with AI-assisted coding tools (Cursor AI, Claude, GitHub Copilot) .Knowledge of cloud security best practices .Experience in large-scale distributed systems .

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