Senior SRE Engineer

About this role

Hartford, CT (Hybrid) Only Local No Relocation

Contract to perm role

W2 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

Required skills

• Python
• Java
• Google Cloud
• Docker
• Kubernetes
• Linux
• Git
• CI/CD
• DevOps
• Splunk