Senior DevOps Engineer (AI)

TL;DR

Senior DevOps Engineer (AI/GCP): Designing and managing scalable cloud infrastructure for big data and machine learning with an accent on GKE, GPU cluster optimization, and MLOps workflows. Focus on automating deployments for PyTorch and TensorFlow workloads, implementing observability, and ensuring the reliability of AI-driven drug discovery platforms.

Location: Hybrid in Ramat Gan, Israel

Company

hirify.global is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.

What you will do

• Design and maintain scalable and reliable GCP infrastructure for big data applications.
• Automate application deployment and scaling using Kubernetes (GKE) and Helm.
• Support and optimize GPU cluster infrastructure for PyTorch and TensorFlow ML/AI workloads.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Manage MLOps platforms, including ClearML, for experiment tracking and production workflows.
• Implement system observability and monitoring using Grafana, Loki, and Prometheus.

Requirements

• Experience designing and managing scalable, cloud-based infrastructure for big data and ML.
• Proficiency in operating Kubernetes-based environments and GKE clusters.
• Strong experience with GCP cloud networking, security configurations, and cost optimization.
• Experience building CI/CD pipelines with GitHub Actions.
• Knowledge of observability tools such as Prometheus, Grafana, and Loki.
• Location: Must be able to work in a hybrid model in Ramat Gan, Israel

Culture & Benefits

• Opportunity to work at the intersection of biology, AI, and engineering.
• Inclusive environment committed to diversity and equal opportunity.
• Collaborative team culture focused on reducing drug development failure rates.