Spyglass Monitoring Engineer

Spyglass Monitoring Engineer

Locations: 100% REMOTE (Costa Rica, Brazil or Mexico)

Employment Type: Contract

Key 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 realtime visibility into the health of the FMCG application landscape Experience Engineering Mobile and Emerging Tech
• Integrate Spyglass with diverse data sources Azure Monitor Google Cloud Platform Cloud Logging AWS CloudWatch and ELKFalcon LogScale
• Manage the lifecycle of an event from ingestion and normalization to correlation alerting and archival
• Proactive Monitoring SRE Integration
• Develop Thresholdbased and Anomalydetection 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 OrdertoCash Checkout flows
• Automate the creation of incidents in ITSM tools eg ServiceNow based on Spyglass event triggers
• Build Situation Rooms or highlevel executive views within Spyglass for major promotional events or seasonal peaks
• Hyperscaler Platform Connectivity
• Ensure seamless event ingestion from hyperscalerhosted 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 AzureGoogle Cloud Platform 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 eventdriven observability and AIOps principles
• Conduct PostMortem analysis of major incidents to refine Spyglass correlation rules and prevent recurrence

Primary Skills Must-Have

• Spyglass Event Management Expertlevel proficiency in Spyglass configuration rule writing and dashboarding
• Event Correlation Deep understanding of event patterns deduplication and suppression logic
• Observability Integration Handson experience connecting Spyglass to Azure Monitor Google Cloud Platform Stackdriver or ELK
• ITSM Integration Proven experience integrating event platforms with ServiceNow or similar tools
• Data Normalization Ability to parse and normalize logsevents from heterogeneous sources JSON XML Syslog

Secondary Skills Good-to-Have

• AIOps Familiarity with machinelearningbased 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 hightraffic windows for retailsales applications