Role Description: Key Qualifications• Good prior experience with Infrastructure Support.• Good experience with Infrastructure Monitoring using Splunk and Kubernetes.• Strong experience with Splunk and Python - using Splunk APIs, Python Splunk SDK; Query Indexing, applying Filters. Achieve real time monitoring and troubleshooting also leveraging Shared Splunk Dashboards.• Monitoring Alerts and performing analysis identifying patterns of issues.• Good experience with AWS and Kubernetes more on Infrastructure Support and monitoring aspects.• Good experience with Kubernetes - Deployments, Advanced Kubernetes monitoring - Monitor Kubernetes objects, their health and their performance and ability to troubleshoot, identify causes of issues/failures with Containers and efficiently manage performance in Kubernetes environments. Good experience with optimizing containers thereby reduces utilization and achieve cost optimization.• Monitoring Kubernetes with Splunk Infrastructure Monitoring. Navigating Your Kubernetes Environment- End-to-End Visibility for Microservices on Kubernetes - Collecting Kubernetes Metrics with Splunk - overall view of entire Kubernetes architecture, including critical health metrics (Clusters and Workloads) across elements of the environment from the infrastructure to the orchestrator, containers, and applications - view of Nodes, Pods, Containers.• Good experience using GitHub Competencies: Digital : Python, Digital : Kubernetes Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company. Diverse Lynx
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