Description

Required Qualifications 
· Strong experience with Kubernetes and GCP (GKE) 
· Strong experience in IaC (Terraform), Helm, and GitHub Actions 
· Proficiency in Python, Ansible, Node.js 
· Strong experience with Prometheus and Grafana observability stack 
· Solid understanding of Linux systems and networking fundamentals 
· Experience in incident management, on-call support, and production triage 
· Hands-on experience with automation and CI/CD pipelines 
· Strong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting).

Preferred Qualifications 
· Google Cloud Architect Certification 
· Certified Kubernetes Administrator (CKA) 
· Experience in Java/J2EE, Spring Boot 
· Experience supporting or operating ML/AI platforms or pipelines (MLOps) 
· Exposure to AIOps tools, anomaly detection, or predictive analytics systems 
· Experience with large-scale distributed systems and microservices architecture 
· Experience with GPU-based workloads or ML infrastructure on GCP 
· Knowledge of Kubeflow, Vertex AI, or ML pipelines

Key Skills

Education

Any Graduate