Job Description*

Role & Responsibilities:
Deploy and manage Kubernetes clusters with autoscaling using Karpenter.
Implement event-driven scaling with KEDA for agile workloads.
Optimize GPU workloads for compute-intensive tasks in Kubernetes.
Build and maintain Grafana dashboards with Prometheus integration.
Develop Python scripts for automation, IaC, and CI/CD pipelines.
Manage containerized deployments with Docker and Helm.
Collaborate on CI/CD workflows using Jenkins and GitLab.
Troubleshoot production issues ensuring high availability.
Mentor junior engineers and enforce DevOps best practices.

Must-Have Skills:
Golang (Mandatory) and Python expertise.
Robust hands-on with KEDA, Kubernetes, Docker, Helm.
CI/CD exposure with Jenkins / GitLab.
Knowledge of Grafana, Prometheus for monitoring.

Positive-to-Have Skills:
AI/ML architecture knowledge (neural networks, inference).
Experience with ML deployment tools (Kubeflow, TensorFlow Serving).
Familiarity with ML model development (PyTorch, scikit-learn).

📌 Ml Engineer Bengaluru
🏢 Cloudxtreme
📍 Bengaluru