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Job Description:
Job Summary:
We are seeking a highly skilled GCP Infrastructure Engineer to design, build, and manage the cloud infrastructure that powers Generative AI (GenAI) applications at scale. In this role, you will leverage Google Cloud Platform (GCP) Vertex AI, IBM Watsonx, and containerization technologies such as Docker and Kubernetes (GKE) to deliver secure, scalable, and high-performance AI solutions. You will own the end-to-end infrastructure lifecycle — from design and provisioning to automation, monitoring,
and optimization — while enabling data scientists and ML engineers to seamlessly deploy and operate GenAI workloads.
Key Responsibilities:
Cloud Infrastructure & Platform Engineering
- Design, provision, and maintain scalable, secure, and cost-efficient infrastructure for GenAI applications on GCP.
- Deploy and manage containerized workloads using Docker and Kubernetes (GKE).
- Configure and optimize Vertex AI and IBM Watsonx platforms for training, fine-tuning, and serving LLMs and other generative models.
- Implement high-performance GPU/TPU clusters to support distributed training and large-scale inference.
- Ensure business continuity through backup, disaster recovery, and multi-region deployments.
Automation & Reliability
- Develop and maintain Infrastructure as Code (IaC) templates with Terraform, or Cloud Deployment Manager.
- Adopt GitOps practices (Flux) for infrastructure lifec