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Event management engineer (spyglass)

São Gonçalo do Amarante (CE)
GeorgiaTEK Systems Inc.
Eventos
Anunciada dia 26 abril
Descrição

Observability & Event Management Engineer (Spyglass)RemoteContractKey ResponsibilitiesSpyglass Event Configuration Management Primary FocusDesign and implement Event Correlation Rules within Spyglass to aggregate disparate logs and metrics into meaningful business eventsConfigure Event Policies Suppression Rules and Deduplication logic to reduce alert fatigue for L1L2 support teamsBuild and maintain Spyglass Dashboards that provide real-time visibility into the health of the FMCG application landscape Experience Engineering Mobile and Emerging TechIntegrate Spyglass with diverse data sources Azure Monitor GCP Cloud Logging AWS CloudWatch and ELK Falcon Log ScaleManage the lifecycle of an event from ingestion and normalization to correlation alerting and archivalProactive Monitoring SRE IntegrationDevelop Threshold based and Anomaly detection alerts to identify performance degradation before it impacts the consumer experienceImplement Service Level Objective SLO monitoring within Spyglass to track the reliability of critical business paths eg Order-to-Cash Checkout flowsAutomate the creation of incidents in ITSM tools eg ServiceNow based on Spyglass event triggersBuild Situation Rooms or high level executive views within Spyglass for major promotional events or seasonal peaksHyper scaler Platform ConnectivityEnsure seamless event ingestion from Hyperscaler hosted microservices AKSGKE and serverless functionsSupport the monitoring of Integration Platforms Boomi APIM by capturing and correlating middleware execution eventsCollaborate with the Cloud Infrastructure team to monitor network latency and connectivity events across the global Azure GCP backboneSenior Developer SpecificsLead the architectural design of the Global Event Management StrategyDefine enterprise standards for event metadata severity levels and correlation patternsMentor junior developers in event driven observability and AIOps principlesConduct Post Mortem analysis of major incidents to refine Spyglass correlation rules and prevent recurrencePrimary Skills Must-HaveSpyglass Event Management Expert level proficiency in Spyglass configuration rule writing and dashboardingEvent Correlation Deep understanding of event patterns deduplication and suppression logicObservability Integration Hands-on experience connecting Spyglass to Azure Monitor GCP Stackdriver or ELKITSM Integration Proven experience integrating event platforms with ServiceNow or similar toolsData Normalization Ability to parse and normalize logs events from heterogeneous sources JSON XML SyslogSecondary Skills Good-to-HaveAIOps Familiarity with machine learning based noise reduction and predictive alertingScripting Proficiency in Python or JavaScript for custom event processing or API integrationsCloud Native Experience monitoring Kubernetes AKSGKE environmentsFMCG Domain Understanding of critical business hours and high traffic windows for retail sales applications.

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