Sr. Observability Engineer - Grafana & Prometheus

This role is part of the large-scale integration modernization program, focused on migrating WebMethods-based integrations to AWS-native architecture. The engineer will design and implement a centralized observability platform leveraging AWS Managed Grafana, Prometheus, CloudWatch, and OpenTelemetry across APIs, messaging, MFT, and SAP integrations.
The engineer will contribute to building unified dashboards, SLA monitoring, and AI-driven alerting to provide real-time insights into system health, integration flows, and business KPIs. The role is critical to ensuring reliability, troubleshooting efficiency, and operational intelligence across ~100M monthly transactions and ~1,500 flows.

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

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