Observability & Event Management Engineer (Spyglass) Remote ContractKey Responsibilities Spyglass Event Configuration Management Primary Focus Design and implement Event Correlation Rules within Spyglass to aggregate disparate logs and metrics into meaningful business events Configure Event Policies Suppression Rules and Deduplication logic to reduce alert fatigue for L1L2 support teams Build and maintain Spyglass Dashboards that provide real-time visibility into the health of the FMCG application landscape Experience Engineering Mobile and Emerging Tech Integrate Spyglass with diverse data sources Azure Monitor GCP Cloud Logging AWS CloudWatch and ELK Falcon Log Scale Manage the lifecycle of an event from ingestion and normalization to correlation alerting and archival Proactive Monitoring SRE Integration Develop Threshold based and Anomaly detection alerts to identify performance degradation before it impacts the consumer experience Implement Service Level Objective SLO monitoring within Spyglass to track the reliability of critical business paths eg Order-to-Cash Checkout flows Automate the creation of incidents in ITSM tools eg ServiceNow based on Spyglass event triggers Build Situation Rooms or high level executive views within Spyglass for major promotional events or seasonal peaks Hyper scaler Platform Connectivity Ensure seamless event ingestion from Hyperscaler hosted microservices AKSGKE and serverless functions Support the monitoring of Integration Platforms Boomi APIM by capturing and correlating middleware execution events Collaborate with the Cloud Infrastructure team to monitor network latency and connectivity events across the global Azure GCP backbone Senior Developer Specifics Lead the architectural design of the Global Event Management Strategy Define enterprise standards for event metadata severity levels and correlation patterns Mentor junior developers in event driven observability and AIOps principles Conduct Post Mortem analysis of major incidents to refine Spyglass correlation rules and prevent recurrencePrimary Skills Must-Have Spyglass Event Management Expert level proficiency in Spyglass configuration rule writing and dashboarding Event Correlation Deep understanding of event patterns deduplication and suppression logic Observability Integration Hands-on experience connecting Spyglass to Azure Monitor GCP Stackdriver or ELK ITSM Integration Proven experience integrating event platforms with ServiceNow or similar tools Data Normalization Ability to parse and normalize logs events from heterogeneous sources JSON XML SyslogSecondary Skills Good-to-Have AIOps Familiarity with machine learning based noise reduction and predictive alerting Scripting Proficiency in Python or JavaScript for custom event processing or API integrations Cloud Native Experience monitoring Kubernetes AKSGKE environments FMCG Domain Understanding of critical business hours and high traffic windows for retail sales applications.