Wells Fargo is seeking a Lead Software Cloud Observability Engineer to manage the architecture and performance of enterprise logging platforms while leveraging AI/ML for enhanced observability. The ideal candidate will have extensive software engineering experience, particularly with Splunk and cloud technologies, and will lead initiatives to improve operational efficiency
Job Summary
Own the architecture, reliability, and scalability of enterprise logging platforms, leading design and implementation of high-volume, resilient log ingestion pipelines across hybrid and cloud environments.
Design and integrate AI/ML models for anomaly detection, log classification, predictive alerting, and signal enrichment, building agentic AI systems for autonomous log analysis and remediation recommendations.
Drive automation to reduce manual toil and improve MTTR across application and infrastructure observability, ensuring platform availability, performance, and data quality through proactive monitoring and SLI/SLO ownership.
Matching Summary
Match Score: 85
Wells Fargo is seeking a Lead Software Cloud Observability Engineer to manage the architecture and performance of enterprise logging platforms while leveraging AI/ML for enhanced observability. The ideal candidate will have extensive software engineering experience, particularly with Splunk and cloud technologies, and will lead initiatives to improve operational efficiency.