• Build, operate, and monitor Cribl’s core data tech stack including data pipelines, data integrations and our data warehouse ensuring data is accurate, timely, and trusted • Develop cloud-native services and infrastructure that power scalable, reliable data systems, with logging, alerting, and observability as first-class concerns • Contribute to infrastructure-as-code (Terraform or similar), clean deployment patterns, and operational hygiene • Support Cribl’s growing data science and agentic initiatives by preparing model-ready datasets, exposing features, and integrating AI/LLM workflows into production systems • Work closely with Analysts and business stakeholders to clarify requirements, validate data outputs, and translate business logic into reliable data artifacts • Partner closely with Data Analysts, Site Reliability Engineers, and IT Engineers on initiatives that align with business needs to clarify requirements and validate data outputs • Communicate risks, tradeoffs, and timelines proactively to keep work predictable • Contribute to secure, compliance-minded engineering practices in collaboration with IT/Security