Senior SRE Engineer

Experience: 5+ years in SRE/DevOps with proven JVM, APIGEE, GCP observability, Grafana stack, GKE, Open Telemetry, 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 applications Logging & 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 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/tracesGCP-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 servicesUI 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