Observability Engineer (JD#11214)

SCIENTE INTERNATIONAL PTE. LTD.

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+

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Job summary

SCIENTE INTERNATIONAL PTE. LTD. is seeking an Observability Engineer with 3+ years of hands-on experience in ELK Stack, AWS monitoring, Python, and Linux to build and manage enterprise observability platforms.

The role focuses on telemetry pipelines, monitoring, alerting, automation, and improving application and infrastructure reliability. You will design, develop, and maintain ELK-based observability platforms, create dashboards and alerts, automate processes with Python, support incident

Qualifications

  • 3+ years hands-on experience in ELK Stack (Elasticsearch, Logstash, Kibana)
  • Experience in AWS monitoring services
  • Strong knowledge of Python scripting and Linux
  • Hands-on experience with log ingestion, parsing (Regex/Grok), filtering, and telemetry pipelines
  • Good understanding of observability, monitoring, alerting, and automation
  • Experience with REST APIs and SDLC

Responsibilities

  • Design, develop, and maintain ELK-based observability platforms and telemetry pipelines
  • Build monitoring dashboards, alerts, and visualizations for applications and infrastructure
  • Automate observability processes using Python and scripting
  • Support incident troubleshooting, performance optimization, and platform stability
  • Collaborate with application, infrastructure, and security teams on observability initiatives
  • Maintain observability documentation, SOPs, and best practices

Job description

Job Summary

Seeking an Observability Engineer with 3+ years of experience in ELK Stack, AWS monitoring, Python, and Linux to build and manage enterprise observability platforms. The role focuses on telemetry pipelines, monitoring, alerting, automation, and improving application and infrastructure reliability.

Mandatory Skill-set
  • 3+ years of hands-on experience in ELK Stack (Elasticsearch, Logstash, Kibana);
  • Experience in AWS monitoring services;
  • Strong knowledge of Python scripting and Linux;
  • Hands-on experience with log ingestion, parsing (Regex/Grok), filtering, and telemetry pipelines;
  • Good understanding of observability, monitoring, alerting, and automation;
  • Experience with REST APIs and SDLC.
Desired Skill-set
  • Exposure to Grafana, Dynatrace, SolarWinds, or similar monitoring tools;
  • Knowledge of OpenTelemetry (OTEL);
  • Familiarity with AI/ML, anomaly detection, LLMs, or RAG;
  • Experience handling audit & compliance activities;
  • Elastic or AWS CloudOps certifications (preferred).
Responsibilities
  • Design, develop, and maintain ELK-based observability platforms and telemetry pipelines;
  • Build monitoring dashboards, alerts, and visualizations for applications and infrastructure;
  • Automate observability processes using Python and scripting;
  • Support incident troubleshooting, performance optimization, and platform stability;
  • Collaborate with application, infrastructure, and security teams on observability initiatives;
  • Maintain observability documentation, SOPs, and best practices.

EA Licence No. 07C5639

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