Senior SRE Engineer

Hartford, CT (Hybrid) Contract to perm role MUST HAVE: GRAFANA, PROMETHEUS, CLOUD exp (GCP desired), LOGGING, TRACING, WEB PORTAL Metrics Looking for a senior level resource that can grow into lead role as team expands Job Description Design and implement comprehensive SRE monitoring for web portal on GCPSet up JVM metrics collection and performance monitoring for Java applications using GCP MonitoringImplement logging and tracing standards across all portal components using Cloud Logging and Cloud TraceConfigure APIGEE monitoring and API performance tracking for portal servicesImplement distributed tracing with W3C Trace Context headers and OpenTelemetryCreate drill-down dashboards with correlation between metrics, logs, and traces using GCP toolsIntegrate GCP Monitoring, Logging, and Trace with existing Prometheus/Grafana stackConfigure GMP (Google Managed Prometheus) for enhanced metrics collectionImplement UI zero code instrumentation for frontend monitoring and traceabilityCreate RED (Request, Error, Duration) dashboards for Performance and Production environmentsBuild service health dashboards with drill-down capabilities and error message analysisDevelop and maintain SRE automation/scripts within GKE namespaces (SRE and others) for monitoring, deployment, and troubleshooting. Experience: 5+ years in SRE/DevOps with proven JVM, APIGEE, GCP observability, Grafana stack, GKE, OpenTelemetry, and UI instrumentation implementation experience Clear Skills Needed Technical: Python, Linux, Prometheus, Grafana, Kubernetes, Docker, Loki, TempoJVM Metrics: Java application monitoring, JVM performance tuning, heap analysis, garbage collection optimization for portal applicationsLogging & Tracing: Splunk, distributed tracing, log aggregation standards, correlation IDs across portal systemsAPI Management: APIGEE experience, API monitoring, rate limiting, security, performance tracking for portal APIsInfrastructure: CI/CD pipelines , AI tools like GIT copilot , Cursor etc.Observability Tools & Query Languages: PromQL, InfluxQL for querying metrics(Grafana)Strong experience with Kubernetes (GKE), including namespace management, RBAC, and deploying/maintaining SRE tools via code (Python, Bash, YAML, Helm). Additional Critical Skills Distributed Tracing Standards: W3C Trace Context headers implementationStructured Logging: JSON format with specific fields (trace_id, service.name, log.level, customer.id, request.id)Performance Baseline Establishment: Ability to collect and analyze 2-4 weeks historical data for performance baselinesDashboard Implementation: Drill-down capabilities, service mapping from trace data, correlation between metrics/logs/traces GCP-Specific Observability Skills (CRITICAL) Google Cloud Monitoring: GMP (Google Managed Prometheus), Cloud Monitoring dashboards, alerting policiesGoogle Cloud Logging: Centralized logging, log-based metrics, log exportsOpenTelemetry (OTEL): Instrumentation, collectors, data collection from GCP services UI Instrumentation & Frontend Monitoring (CRITICAL) UI Span Management: Naming conventions for UI-initiated spans, W3C Trace Context headers for frontendFrontend Observability: User session tracking, component-level monitoring, UI performance metricsCross-Platform Tracing: End-to-end traceability from UI to backend services