incidents, improve runbooks and automate recurring operational work. What you’ll bring: Demonstrable experience operating production data pipelines or data platforms, with ownership of reliability and incident resolution. Strong practical Kubernetes, container and Linux skills, including troubleshooting workloads, networking, resource limits and persistent storage. Experience building automated delivery workflows … processing patterns: idempotency, bounded retries, duplicate delivery, incremental processing and safe replay. Experience implementing metrics, logs, dashboards and alerting, with meaningful service and data reliability targets. Practical experience with stateful systems, controlled migrations, backup and recovery, secrets management and least-privilege access. Nice to have: OpenShift, on-premises deployments ...