APM & Observability Engineer - AppDynamics | Dynatrace | Grafana

CodeNinja


Date: 4 weeks ago
City: Karachi
Contract type: Full time

About CodeNinja

CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.

With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge — ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.

For the Client's Test Management Enablement & Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing — all governed under a structured 20-week program delivery framework.

About the Role

The APM & Observability Engineer sets up monitoring hooks (AppDynamics, HP BSM), correlates application metrics with load profiles, identifies bottlenecks at application, database, and infrastructure layers, and provides actionable tuning recommendations. This role ensures performance visibility across every layer of the Client's technology stack.

Key Responsibilities

• Configure and maintain monitoring hooks using AppDynamics, HP BSM, and/or Grafana for performance test observability.

• Correlate application-level metrics (response times, error rates, thread pools) with infrastructure metrics (CPU, memory, DB connections) during load tests.

• Identify bottlenecks at application, database, middleware, and infrastructure layers during performance cycles.

• Provide specific, actionable tuning recommendations based on observed metrics and thresholds.

• Set up centralised performance metrics dashboards for real-time visibility during test execution.

• Support post-deployment smoke performance validation during low-traffic production windows.

• Document monitoring setup and facilitate knowledge transfer for the Client's operations team.

Requirements

• 6+ years of APM/observability engineering experience.

• Hands-on proficiency with AppDynamics, Dynatrace, or equivalent enterprise APM platforms.

• Experience with Grafana, Prometheus, or ELK stack for dashboard creation and alerting.

• Strong understanding of application architectures: microservices, API gateways, middleware, database layers.

• Experience correlating distributed system metrics under load conditions.

• Knowledge of HP BSM monitoring for infrastructure-level observability.

• Preferred Certifications: AppDynamics Certified Professional, Dynatrace Associate, Grafana Certified.

Why Join CodeNinja?

• Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.

• Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.

• Collaborate with world-class QA professionals across onsite and offsite delivery models.

• Access to continuous upskilling — certifications, AI/ML tooling, and emerging QA methodologies.

• Competitive compensation with performance-linked incentives and career progression pathways.

• A culture that values technical excellence, ownership, and innovation without bureaucracy.

Disclaimer

This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.

All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.

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