Senior Cloud Observability Engineer

Cardinal Health, Inc.; Taguig; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

Cardinal Health is seeking an Observability/Monitoring Engineer to help design, implement, and manage monitoring solutions across multiple environments. You will collaborate with Infrastructure, Applications and BI teams to drive a self-service monitoring capability and ensure reliable performance of critical assets.

The role focuses on large-scale deployments, documentation, and mentoring colleagues in best practices for instrumentation, dashboards, and incident response.

Qualifications

• 2–4 years of monitoring platform experience (Dynatrace, BigPanda, AWS, GCP, Splunk).
• Proficient in APM, Synthetics, UE monitoring, mobile app & infra monitoring; distributed tracing.
• Proficient in Python, PowerShell, SQL; adept with cloud services.
• Excellent written and oral communication.
• Strong OS & platform knowledge (Windows, Linux, Unix; networks, firewalls, storage, virtualization).

Responsibilities

• Collaborate with Infrastructure, Application, BI teams via a monitoring self-service approach.
• Support large-scale Monitoring deployments across providers with on-prem data feeds.
• Monitor performance, availability, capacity; manage upgrades, permissions, audit compliance.
• Create and maintain documentation on operational processes.
• Assist in system/integration with Enterprise Monitoring instrumentation.
• Mentor staff on monitoring activities.

Skills

APM & Monitoring

End User Experience

Distributed tracing

Python

PowerShell

SQL

Cloud services

Excellent communication

OS knowledge

Tools

Dynatrace

BigPanda

AWS

GCP

Splunk

Job description

Cardinal Health is seeking an Observability/Monitoring Engineer to help design, implement, and manage monitoring solutions across multiple environments. You will collaborate with Infrastructure, Applications and BI teams to drive a self-service monitoring capability and ensure reliable performance of critical assets.

The role focuses on large-scale deployments, documentation, and mentoring colleagues in best practices for instrumentation, dashboards, and incident response.