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Splunk Observability Engineer

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Onsite

Splunk Observability Engineer

Tech Aalto Pte ltd

Splunk Observability Engineer

Skills

Google Cloud PlatformDockerPythonSplunkData AnalysisAWSKubernetesTerraformAzure

1 month ago

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Important information


Location:

Singapore

Work mode:

Onsite

Published on:

19 September 2026

What they need


Singapore (Singapore)

Splunk Observability Engineer

Job discription

  • Design, implement, and manage full-stack observability with Splunk APM, Infrastructure, and RUM.
  • Develop and maintain custom dashboards and alerts for proactive issue identification.
  • Onboard and instrument applications and infrastructure to generate telemetry data (metrics, traces, logs).
  • Troubleshoot complex performance issues by analyzing traces, metrics, and log correlations.
  • Automate deployment and configuration of the Splunk Observability suite.
  • Collaborate with development and SRE teams to improve system reliability and performance.
  • Create and optimize Splunk Observability Queries (O11yQL) for advanced data analysis.
  • Manage and fine-tuning alerting thresholds to reduce noise and improve Mean Time to Detection (MTTD).

Skills Required

  • Strong expertise in Full-Stack Observability, with hands-on experience in Splunk Observability Cloud, including APM, Infrastructure Monitoring, RUM, and Log Observer.
  • Proven ability to design, implement, and manage end-to-end observability solutions, including dashboards, alerts, and telemetry pipelines.
  • Solid experience in instrumenting applications and infrastructure to generate and export metrics, logs, and distributed traces (using OpenTelemetry or similar frameworks).
  • Advanced skills in troubleshooting performance issues, with the ability to analyze APM traces, system metrics, log correlations, and dependency maps.
  • Experience developing and optimizing custom dashboards, alerting rules, service maps, and other observability artifacts for proactive monitoring.
  • Proficiency in O11yQL (Splunk Observability Query Language) to perform deep data analysis and build advanced insights.
  • Strong automation skills using IaC tools (Terraform/Pulumi), CI/CD pipelines, or scripting (Python, Bash) to deploy and configure Splunk Observability components.
  • Experience collaborating with Software Engineering, DevOps, and SRE teams to enhance system reliability, performance, and operational visibility.
  • Ability to fine-tune alert thresholds, implement good alert hygiene, and improve MTTD and overall incident response effectiveness.
  • Strong analytical, debugging, and problem-solving skills with the ability to work across complex distributed systems.
  • Experience with cloud platforms (AWS/Azure/GCP) and containerized environments (Kubernetes, Docker) is a strong plus.
  • Good communication skills with the ability to explain technical insights to both technical and non-technical stakeholders.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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