Senior SRE Engineer

Contract to perm role

W2 Role

GRAFANA, PROMETHEUS, CLOUD exp (GCP desired), LOGGING, TRACING, WEB PORTAL Metrics

• 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 Open Telemetry
• 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 name spaces (SRE and others) for monitoring, deployment, and troubleshooting.

Experience:

5+ years in SRE/Dev Ops with proven JVM, APIGEE, GCP observability, Grafana stack, GKE, Open Telemetry, and UI instrumentation implementation experience

• 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).

• Distributed Tracing Standards: W3C Trace Context headers implementation
• Structured Logging: JSON format with specific fields (, service.name, log.level, customer., request.)
• 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

• Google Cloud Monitoring: GMP (Google Managed Prometheus), Cloud Monitoring dashboards, alerting policies
• Google Cloud Logging:
  Centralized logging, log-based metrics, log exports
• Open Telemetry (OTEL):
  Instrumentation, collectors, data collection from GCP services

• 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