We are seeking an experienced Platform Support Engineer to support a key client engagement. The ideal candidate will have a strong background in Kubernetes operations, DevOps practices, and big data platforms, with proven ability to troubleshoot, manage, and optimize critical infrastructure. The role involves client-facing responsibilities, requiring excellent communication skills to handle discussions, resolve issues, and raise tickets as needed.
Main Duties And Responsibilities
Troubleshooting & Support: Diagnose and resolve platform issues efficiently to maintain system stability and performance.
Incident Management: Raise, track, and manage tickets for any platform-related incidents or service requests.
Client Interaction: Engage with client teams to discuss issues, provide updates, and ensure timely resolution.
Kubernetes & Container Management: Build and manage Docker images; Manage Docker Quay image registry; Handle K8S components including network policies, ingress/egress, secret and configMap management; Deploy and manage Helm charts.
Python Environment Management: Setup and manage virtual environments for Python-based workloads.
Big Data Components: Experience with Spark, Airflow, Hive, and HDFS; Manage queue limits for workloads.
Networking: Manage DNS (static and dynamic entries), proxy settings, and environment variables.
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