Senior Cloud Engineer- GCP

Senior Cloud Engineer

Location: Gurugram (Hybrid – Local to NCR Preferred)

Employment Type: Full-Time

Interview Mode: Virtual

Notice Period: Immediate to 15 Days

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.
• Experienced in DevOps 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

• Bachelor’s degree in Computer Science Engineering or related field.
• Proven experience with Terraform and Infrastructure-as-Code (IaC) principles.
• Strong understanding of GCP services including 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 such as Jenkins GitLab CI or similar.
• Familiarity with containerization technologies like Docker and Kubernetes is a plus.
• Excellent problem-solving and collaboration skills.

Preferred Experience

• 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 such as Python and Bash.