What are the responsibilities and job description for the Kubernetes Engineer position at TechDigital Corporation?
Years of experience required: 5
Required Qualifications · Strong experience with Kubernetes and Google Cloud Platform (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 Google Cloud Platform · Knowledge of Kubeflow, Vertex AI, or ML pipelines
Required Qualifications · Strong experience with Kubernetes and Google Cloud Platform (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 Google Cloud Platform · Knowledge of Kubeflow, Vertex AI, or ML pipelines
Karthikeyan Chinnasamy | Asst manager - Training and Delivery | TechDigital Corporation | Phone: | Email & Hangout:
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