AI-Driven Observability & Automation Engineer

Metlife Solutions Pte Ltd; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading IT solutions provider in Kuala Lumpur is seeking an Observability, Automation & AI Ops Engineer to design, implement, and optimize monitoring and automation solutions across hybrid cloud environments. The role involves ensuring IT service availability and efficiency through advanced observability platforms and AI-driven operations. Candidates should have experience with tools like Elastic, Ansible, and AIOps frameworks, as well as strong analytical and communication skills. Proficiency in English is required, and relevant certifications are preferred.

Qualifications

• 0–2 years in observability, automation, or IT operations for Associate role.
• 2–5 years relevant experience for Engineer role.
• 5+ years with demonstrated technical and/or team leadership for Senior role.
• Relevant certifications in observability, automation, cloud, or AI/ML platforms are a plus.
• Business proficiency in English is required.

Responsibilities

• Design, deploy, and manage observability platforms for end-to-end visibility of applications.
• Develop and maintain telemetry pipelines for logs, metrics, traces, and events.
• Implement and maintain AI-driven systems for real-time monitoring and predictive analytics.

Skills

Proficiency in observability platforms (Elastic, Splunk, Prometheus, Grafana, OpenTelemetry)

Strong experience with automation tools (Ansible, Terraform, CI/CD, scripting languages)

Familiarity with AIOps platforms and AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch)

Excellent troubleshooting, analytical, and communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Elastic

Splunk

Prometheus

Grafana

Ansible

Terraform

Moogsoft

Dynatrace

DataDog

Job description

A leading IT solutions provider in Kuala Lumpur is seeking an Observability, Automation & AI Ops Engineer to design, implement, and optimize monitoring and automation solutions across hybrid cloud environments. The role involves ensuring IT service availability and efficiency through advanced observability platforms and AI-driven operations. Candidates should have experience with tools like Elastic, Ansible, and AIOps frameworks, as well as strong analytical and communication skills. Proficiency in English is required, and relevant certifications are preferred.