Cloud Platform Engineer

5 - 10 years

7 - 17 Lacs

Posted:1 month ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Google Cloud Compute Services, Google Kubernetes Engine, Google BigQuery, Linux Containers Administration, Terraform Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will collaborate with cross-functional teams to ensure successful implementation of cloud solutions. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Manage and maintain Google Kubernetes Engine and Google BigQuery. - Administer Linux Containers and ensure smooth operation. - Design and implement cloud-based solutions using Google Cloud Compute Services. - Collaborate with stakeholders to gather requirements and provide technical guidance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Compute Services, Google Kubernetes Engine, Google BigQuery, and Linux Containers Administration. - Strong understanding of cloud architecture and infrastructure. - Experience with containerization technologies such as Docker and Kubernetes. - Knowledge of scripting languages like Python or Bash. - Familiarity with CI/CD pipelines and automation tools like Jenkins or GitLab.

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