Sr. Observability Engineer – Grafana & Prometheus

Observability Platform Engineering

• Set up and manage Prometheus (metrics collection) and Grafana dashboards (AWS Managed Services)
• Build and maintain AWS-native observability platform including metrics, logs, and traces using CloudWatch, X-Ray, and OTEL instrumentation
• Implement instrumentation across APIs, messaging, MFT, and batch integrations for end-to-end visibility
   

Monitoring & Dashboards

• Monitor application and infrastructure performance across AWS integration estate
• Create dashboards for KPIs, system health, SLA tracking, and integration performance
• Develop master dashboards covering API performance, messaging queues, infra health, and integration status 
   

Alerting & Reliability

• Configure alerts, thresholds, and proactive monitoring frameworks
• Enable AI-driven alerting and anomaly detection integrated with ITSM tools
• Support high availability and reliability through proactive observability practices
   

Troubleshooting & Operations

• Support troubleshooting using metrics, logs, traces, and dashboards
• Provide deep visibility into payload tracking, error handling, and integration health
• Enable root cause analysis and faster resolution through observability insights
   

Standardization & Best Practices

• Establish monitoring standards, observability patterns, and dashboard blueprints
• Implement structured logging, correlation IDs, and traceability across distributed systems
• Contribute to observability maturity including automated alerts, runbooks, and analytics

Qualifications

Required Skills & Competencies

• Strong experience with Grafana and Prometheus
• Experience setting up monitoring dashboards, alerts, and observability pipelines
• Basic knowledge of AWS cloud services (CloudWatch, X-Ray, etc.)
• Solid understanding of monitoring, logging, and alerting concepts
• Good troubleshooting and analytical skills
   

Good to Have

• Knowledge of OpenTelemetry (OTEL) instrumentation
• Exposure to Kubernetes/EKS monitoring
• Familiarity with integration monitoring (APIs, messaging, batch flows)
• Understanding of AI-driven observability and anomaly detection concepts
• Experience in enterprise integration and cloud modernization programs preferred
   

Qualifications

• Bachelor’s degree in Engineering or related field
• 8–12 years of experience

 

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