Live opening · Posted 11 days ago

Senior Cloud Engineer

Akshaya India · Bangalore
Instahyre 7-11 yrs
You are 11 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 11 days ago
CompanyAkshaya India
LocationBangalore
Experience7-11 yrs
SourceInstahyre
Listed11 days ago

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About the role

Description supplied by the original job listing.

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.
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 optimise 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.
Implement and maintain CI/CD pipelines to support rapid and reliable application delivery.
Monitor, troubleshoot, and optimise 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.
Requirements:
Bachelor's 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.
Google Cloud Professional Cloud Engineer certification or equivalent with 7+ years of experience.
Prior experience building AI/ML pipelines and MLOps workflows.
Strong background in scripting languages (Python, Bash).
Experienced in DevOps skills.

Experience
7-11 yrs

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