DeepSource GmbH

Monitoring & Observability Engineer – 24x7 Operations

DeepSource GmbH

full-time

Posted on:

Location Type: Hybrid

Location: RiyadhSaudi Arabia

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About the role

  • Full-Stack Observability: Manage **Dynatrace APM** to monitor application performance, transaction tracing, and user experience for 100+ apps and 12 databases.
  • Infrastructure Oversight: Utilize **ManageEngine** to monitor 100 network devices and 1,000+ hosts, tracking health metrics like CPU, latency, and packet loss.
  • Dependency Mapping: Use Dynatrace **Smartscape** to map digital asset relationships and perform impact analysis during incidents.
  • 24x7 NOC Operations: Provide continuous alert triage, and escalation management within a rotating shift model.
  • Performance Governance: Generate real-time dashboards and detailed RCA (Root Cause Analysis) reports to drive continuous service improvement.

Requirements

  • Bachelor’s degree or Diploma in engineering /computer science or similar (preferred)
  • **Experience in monitoring tools **experience with **Dynatrace** and/or **ManageEngine** monitoring suites.
  • **Technical Depth:** Strong understanding of application topology, network protocols, and Data Center infrastructure "Servers , Storage and networking".
  • **Previous enperience ** 24x7 Managed Services or NOC environment. (preferred)
  • **Process:** Experience with ITIL frameworks, incident management, and meeting strict SLA targets.
  • **Communication:** Ability to translate technical telemetry into clear performance reports and dashboards.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Dynatrace APMManageEngineSmartscapeapplication performance monitoringtransaction tracingimpact analysisRoot Cause Analysisnetwork protocolsData Center infrastructureITIL frameworks
Soft Skills
communicationalert triageescalation managementcontinuous service improvement
Certifications
Bachelor’s degreeDiploma in engineeringDiploma in computer science