Site Reliability Engineer

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

• 5+ years as SRE
• Grafana – must have
• PromQL, Loki, Prometheus, Tempo (These are kind of grouped, if they have 1 they should have the others)  - must have
• Open Telemetry, hands on experience – must have
• Otel and W3c Tracing experience - must have  
• Python – would like to see
• Docker – nice to have

• Design and implement comprehensive SRE monitoring for web portal on Google Cloud Platform
• Set up JVM metrics collection and performance monitoring for Java applications using Google Cloud Platform 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 Google Cloud Platform tools
• Integrate Google Cloud Platform Monitoring, Logging, and Trace with existing PrometheGrafana 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.

• 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
• 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
• OpenTelemetry (OTEL):   Instrumentation, collectors, data collection from Google Cloud Platform 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