Application Performance Management (APM) Specialist

Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. We are looking for top talent to ensure end-to-end visibility of application health, performance, and user experience across critical business services.

Job Description

• Implement and manage modern APM tools that support real-time insights, transaction tracing, and deep diagnostics of application behaviour.
• Support performance engineering, incident prevention, and rapid root cause analysis of application-related issues.
• Partner with DevOps, development, and infrastructure teams in creating a performance-centric culture backed by actionable telemetry.
• Implement, configure, and manage enterprise-grade APM tools across the application landscape.
• Build dashboards, alert policies, and SLA-based thresholds for business-critical applications.
• Enable distributed tracing and service maps to visualize and diagnose performance across complex dependencies.
• Collaborate with application owners and development teams to address recurring issues and improve code-level performance.
• Ensure seamless integration of APM tools with CI/CD pipelines and incident response workflows.
• Lead performance monitoring efforts during major application releases or seasonal peak loads.
• Conduct APM health checks and ensure consistent telemetry coverage across environments (dev, test, prod).

Qualifications

• In-depth experience with leading APM platforms such as Dynatrace, AppDynamics, New Relic, Instana, or Datadog APM.
• Strong understanding of distributed applications, microservices, container orchestration (Kubernetes), and service mesh technologies.
• Skilled in analyzing transaction traces, identifying bottlenecks, and pinpointing slow database calls or code-level inefficiencies.
• Proficient in synthetic monitoring, real user monitoring (RUM), and load testing techniques.
• Familiarity with telemetry pipelines, correlation of metrics/logs/traces, and service-level indicators (SLIs).
• Capability to use data to produce baselines, detect anomalies, and support proactive performance tuning.