OpenShift Telemetry Engineer

- Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. - Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment. - Engineer data models and routing for multi-tenant observability; ensure lineage, quality, and SLAs across the stream layer. - Integrate processed telemetry into Splunk for visualization, dashboards, alerting, and analytics to achieve Observability Level 4 (proactive insights). - Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events. - Build automated validation, replay, and backfill mechanisms for data reliability and recovery. - Instrument services with Open Telemetry; standardize tracing, metrics, and structured logging across platforms. - Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly summarization, runbook generation). - Collaborate with platform, SRE, and application teams to integrate telemetry, alerts, and SLOs. - Ensure security, compliance, and best practices for data pipelines and observability platforms. - Document data flows, schemas, dashboards, and operational runbooks.