Live opening · Posted 6 days ago
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Description supplied by the original job listing.
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
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