Senior AIOps Engineer: ML Orchestration & Mentoring

Razer

Shah Alam

On-site

MYR 180,000 - 360,000

Full time

14 days+

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Job summary

Razer in Malaysia is hiring a Senior AIOps Engineer to lead technical delivery on the AIOps initiative backlog, mentor junior team members, and own operational data analysis for our payment platform. You’ll work primarily in Python, with PHP or Node.js for integrations, collaborating with DevOps, SRE, Engineering, and Platform teams, and guiding the Junior and Intern on the team.

This role blends hands-on ML/AI orchestration with growing talent and shaping automation, dashboards, and SI/SLIs for

Qualifications

  • 5+ years in DevOps, SRE, Platform Engineering, or Operational/Data Analytics.
  • Python (primary) — required; PHP or Node.js (secondary) — at least one, required.
  • Prior experience mentoring or leading junior engineers — required for this role specifically.
  • Practical exposure to ML fundamentals, AI orchestration, automation/RPA, data analysis.
  • Strong troubleshooting and analytical instincts.

Responsibilities

  • Technical Delivery — ML (applied) on logs, metrics, and transaction data in Python.
  • AI Orchestration — design workflows chaining AI/LLM tools into pipelines.
  • Automation / RPA — build Python automation; integrate with existing services in PHP/Node.js.
  • Own SLI/SLO definition and tracking for critical payment services; build dashboards.

Skills

Python
DevOps
SRE
Mentoring
Analytical thinking

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

TensorFlow / PyTorch
Docker
Kubernetes

Job description

Razer in Malaysia is hiring a Senior AIOps Engineer to lead technical delivery on the AIOps initiative backlog, mentor junior team members, and own operational data analysis for our payment platform. You’ll work primarily in Python, with PHP or Node.js for integrations, collaborating with DevOps, SRE, Engineering, and Platform teams, and guiding the Junior and Intern on the team.

This role blends hands-on ML/AI orchestration with growing talent and shaping automation, dashboards, and SI/SLIs for

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