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 GCP • Set up JVM metrics collection and performance monitoring for Java applications using GCP Monitoring • Implement logging and tracing standards across all portal components using Cloud Logging and Cloud Trace • Configure APIGEE monitoring and API performance tracking for portal services • Implement distributed tracing with W3C Trace Context headers and OpenTelemetry • Create drill-down dashboards with correlation between metrics, logs, and traces using GCP tools • Integrate GCP Monitoring, Logging, and Trace with existing Prometheus/Grafana stack • Configure GMP (Google Managed Prometheus) for enhanced metrics collection • Implement UI zero code instrumentation for frontend monitoring and traceability • Create RED (Request, Error, Duration) dashboards for Performance and Production environments • Build service health dashboards with drill-down capabilities and error message analysis • Develop 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, Tempo • JVM Metrics: Java application monitoring, JVM performance tuning, heap analysis, garbage collection optimization for portal applications • Logging & Tracing: Splunk, distributed tracing, log aggregation standards, correlation IDs across portal systems • API Management: APIGEE experience, API monitoring, rate limiting, security, performance tracking for portal APIs • Infrastructure: 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 implementation • Structured 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 baselines • Dashboard 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 policies • Google Cloud Logging: Centralized logging, log-based metrics, log exports • OpenTelemetry (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 frontend • Frontend Observability: User session tracking, component-level monitoring, UI performance metrics • Cross-Platform Tracing: End-to-end traceability from UI to backend services