Job Description

Key responsibilities include: 

• GCP certifications (, Professional Cloud DevOps Engineer, Cloud Architect).
• Experience deploying and managing AI/ML and GenAI models in production.
• Familiarity with data governance, model lifecycle management, and responsible AI practices.
• Cloud Expertise: Deep experience with Google Cloud Platform (GCP) services (Compute Engine, GKE, Cloud Functions, Vertex AI, BigQuery, etc.).
• DevOps Tools: Jenkins, GitLab CI/CD, ArgoCD, or similar.
• IaC: Terraform, Google Deployment Manager, Ansible.
• Containers & Orchestration: Docker, Kubernetes (GKE preferred), Helm.
• Monitoring & Logging: Google Cloud Operations Suite (formerly Stackdriver), Prometheus.
• Scripting & Automation: Python, Bash, NodeJs.
• AI/ML & GenAI: Experience with Vertex AI, Kubeflow, MLflow, LangChain, Hugging Face, or OpenAI APIs.
• Security & Compliance: IAM, VPC, service accounts, secrets ...