Senior Cloud Engineer(GCP)
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Job description
We are seeking a skilled Senior Cloud Engineer to design deploy and maintain secure scalable cloud infrastructure supporting data AI and DevOps operations. The ideal candidate will have hands-on experience with Terraform Google Cloud Platform (GCP) and modern CI/CD practices.
Key Responsibilities:
Design deploy and maintain cloud infrastructure using Terraform and GCP best practices.
Architect implement and manage network configurations including secure setups for platforms like Workbench.
Develop and manage new project architectures ensuring high availability scalability and cost efficiency.
Support and optimize Vertex AI applications including pipeline automation resource management and integration with other GCP services.
Collaborate with cross-functional teams to deliver end-to-end cloud solutions aligned with business goals.
Experience in Dev Ops Skills.
Implement and maintain CI/CD pipelines to support rapid and reliable application delivery.
Monitor troubleshoot and optimize cloud environments for performance reliability and security.
Drive DevOps operations enhancing deployment automation and infrastructure resilience.
Maintain up-to-date documentation of infrastructure and operational procedures.
Good Understanding of Data Product development
Qualifications:
Bachelors degree in Computer Science Engineering or related field.
Proven experience with Terraform and infrastructure-as-code principles.
Strong understanding of GCP services (Compute Engine VPC Cloud Storage Vertex AI Cloud Build etc.).
Experience with network architecture and security configuration in GCP.
Practical knowledge of CI/CD tools (Jenkins GitLab CI or similar).
Familiarity with containerization (Docker Kubernetes) is a plus.
Excellent problem-solving and collaboration skills.
Preferred Experience:
Google Cloud Professional Cloud Engineer certification or equivalent with 7 Years Experience
Prior experience building AI/ML pipelines and MLOps workflows.
Strong background in scripting languages (Python Bash).
We are seeking a skilled Senior Cloud Engineer to design deploy and maintain secure scalable cloud infrastructure supporting data AI and DevOps operations. The ideal candidate will have hands-on experience with Terraform Google Cloud Platform (GCP) and modern CI/CD practices.
Key Responsibilities:
Design deploy and maintain cloud infrastructure using Terraform and GCP best practices.
Architect implement and manage network configurations including secure setups for platforms like Workbench.
Develop and manage new project architectures ensuring high availability scalability and cost efficiency.
Support and optimize Vertex AI applications including pipeline automation resource management and integration with other GCP services.
Collaborate with cross-functional teams to deliver end-to-end cloud solutions aligned with business goals.
Experience in Dev Ops Skills.
Implement and maintain CI/CD pipelines to support rapid and reliable application delivery.
Monitor troubleshoot and optimize cloud environments for performance reliability and security.
Drive DevOps operations enhancing deployment automation and infrastructure resilience.
Maintain up-to-date documentation of infrastructure and operational procedures.
Good Understanding of Data Product development
Qualifications:
Bachelors degree in Computer Science Engineering or related field.
Proven experience with Terraform and infrastructure-as-code principles.
Strong understanding of GCP services (Compute Engine VPC Cloud Storage Vertex AI Cloud Build etc.).
Experience with network architecture and security configuration in GCP.
Practical knowledge of CI/CD tools (Jenkins GitLab CI or similar).
Familiarity with containerization (Docker Kubernetes) is a plus.
Excellent problem-solving and collaboration skills.
Preferred Experience:
Google Cloud Professional Cloud Engineer certification or equivalent with 7 Years Experience
Prior experience building AI/ML pipelines and MLOps workflows.
Strong background in scripting languages (Python Bash).
