✦ Luna Orbit — IT Support & Helpdesk

Application Observability Engineer / Ingenieur en observabilite des applications

at TD Synnex

Unknown 💰 $85K – $105K USD / year Posted March 17, 2026
Salary $85K – $105K USD / year
Type Not Specified
Experience entry
Exp. Years 0-1 years
Education Not specified
Category IT Support & Helpdesk

TD Synnex is seeking an Application Observability Engineer to support and troubleshoot enterprise platforms, microservices, and containerized environments, ensuring system health and performance.

  • Support platform health
  • Troubleshoot production issues
  • Monitor microservices
  • Manage containerized environments
  • Collaborate with development teams

Role involves supporting microservices architectures, monitoring with tools like Grafana and Kibana, troubleshooting application and platform issues, and working with containerized workloads using Kubernetes.

The ideal candidate is an entry-level application observability engineer with hands-on troubleshooting skills, familiar with containerized platforms, monitoring tools like Grafana and Kibana, and capable of supporting microservices environments.

TroubleshootingApplication MonitoringKubernetesAPIs
AI-assisted troubleshootingContainerized environmentsPerformance analysis
KibanaGrafanaJaegerVictoriaMetricsRedisKubernetes
Application MonitoringMicroservicesKubernetesGrafanaKibanaRedisAPIsTroubleshooting
Application MonitoringMicroservicesKubernetesGrafanaKibanaRedisAPIsLoggingContainerized PlatformsTroubleshooting
problem-solvingcommunicationcollaborationanalytical thinkinglearning
Industry Not specified
Job Function Support and troubleshoot enterprise application platforms and microservices
Role Subtype Help Desk L1
Tech Domains Kubernetes, Grafana, Kibana, Redis
application observabilitymicroserviceskubernetesgrafanakibanaredisapistroubleshootingcontainerized environmentssystem healthlog analysisperformance monitoringplatform stabilityincident resolutiondistributed systemsapplication monitoring

Lack of troubleshooting experience, No familiarity with Kubernetes or monitoring tools, Inability to work with containerized environments

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