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.
Senior Cloud EngineerLocation: Gurugram (Hybrid – Local to NCR Preferred)Employment Type: Full-TimeInterview Mode: VirtualNotice 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 d...
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.
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