4 of 4 Root Cause Analysis Jobs in Warwick

automated remediation. Support ITGC, audit, and regulatory requirements by implementing controls, monitoring, and evidence collection for cloud environments. Respond to security incidents, perform root cause analysis, and drive continuous improvement. Monitoring, Observability & Cost Optimization: Deploy and manage cloud-native monitoring, logging, and tracing solutions (e.g., Azure Monitor … cost, and implement automated scaling and rightsizing. Produce dashboards and reports for operational and business stakeholders. Lead incident response for cloud infrastructure issues, including root cause analysis and post-mortem documentation Develop and test disaster recovery and business continuity plans for critical workloads. What you'll bring ...

including integration with HVAC, battery, and e-drive systems. Develop and maintain Design Verification Plans (DVP) and execute validation activities including test planning, data analysis, and reporting. Create, maintain and manage DFMEA documentation , including P-diagrams and boundary diagrams, ensuring design robustness and failure mitigation strategies. Work closely with … support component design, sourcing, and manufacturing feasibility , ensuring cost and quality targets are achieved. Support prototype builds, validation events, and issue resolution , including root cause analysis and corrective actions. Ensure all components are released in line with programme gateways and client-specific release processes (AML standards) . ...

Tuning alerts to reduce noise and improve operational effectiveness Developing dashboards and reporting for operational, infrastructure, network and security teams. Supporting troubleshooting activities and root cause analysis. Producing technical documentation, runbooks and knowledge transfer materials. What You'll Need to Succeed Active SC Clearance (mandatory). Strong hands ...

Generation (RAG) pipelines to contextualize Large Language Models (LLMs) with proprietary OT data, maintenance manuals, and historian logs for intelligent operator assistance and automated root-cause analysis. Edge AI & MLOps: Operationalize lightweight machine learning models as containerized Azure IoT Edge modules to execute real-time anomaly detection, predictive ...