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.
