Senior AIOps Engineer

Razer Inc.; Shah Alam; Presencial; MYR 120 000 - 180 000; Tempo integral

Resumo da oferta

Razer Inc. is seeking a Senior AIOps Engineer to lead ML-driven delivery for our payment platform, mentor juniors, and own operational data analysis. The role blends hands-on engineering (ML, AI orchestration, automation, data analysis) with team growth responsibilities

You will work primarily in Python, with PHP or Node.js for integrations outside the core stack, collaborating with DevOps, SRE, Engineering, and Platform teams as the technical anchor for the AIOps team.

Qualificações

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

Responsabilidades

• Technical Delivery — Machine Learning: apply ML models to logs, metrics, and transaction data (Python).
• Own model integration into operational tooling — not model research.
• Technical Delivery — AI Orchestration: design workflows chaining AI/LLM tools into pipelines.
• Own architecture decisions for orchestration patterns across the team.
• Technical Delivery — Automation / RPA: build Python automations; use PHP/Node.js where needed.
• Design self-healing workflows and automate runbooks.
• Analyst Function: define and track SLI/SLOs for payment services; build dashboards.
• Mentorship: structured mentoring of Junior and Intern; set technical standards.
• Cross-functional: partner with DevOps/SRE/Platform; support audit readiness and PCI DSS; evaluate new AIOps tools.

Conhecimentos

Python

PHP or Node.js

Mentoring

DevOps/SRE/Platform Engineering

Data analytics

Troubleshooting

Formação académica

Background in Computer Science, Engineering, Data Science, or related field

Ferramentas

AWS/GCP/Azure

Container/orchestration platforms

PCI DSS

Logging/Monitoring dashboards

Descrição da oferta de emprego

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

We’re hiring a Senior AIOps Engineer to lead technical delivery on our AIOps initiative backlog, mentor junior team members, and own operational data analysis for our payment platform. This is not a pure IC delivery role — it combines hands-on engineering (ML, AI orchestration, automation, data analysis) with responsibility for growing the team’s junior talent and turning operational data into decisions.

You’ll work primarily in Python, with PHP or Node.js as a secondary language for integrations outside the core stack. You’ll partner with DevOps, SRE, Engineering, and Platform teams, and act as the technical anchor for the AIOps team’s Junior and Intern.

Roles & Responsibilities

1. Technical Delivery — Machine Learning (applied)

• Apply ML models (anomaly detection, clustering, time-series forecasting) to logs, metrics, and transaction data, primarily in Python
• Own model integration into operational tooling — not model research

2. Technical Delivery — AI Orchestration

• Design and build workflows chaining AI/LLM tools into operational pipelines (alert → AI triage → enrichment → routing)
• Own architecture decisions for orchestration patterns used across the team

3. Technical Delivery — Automation / RPA

• Build automation in Python to eliminate repetitive infra/support work; use PHP/Node.js where automation touches existing services
• Design self-healing workflows and automated runbook execution

4. Analyst Function

• Own SLI/SLO definition and tracking for critical payment services
• Build and maintain dashboards translating raw telemetry into decisions
• Produce capacity/workload forecasts and bottleneck analysis
• Be the go-to person when any team asks “what does the data say” — currently no one owns this consistently

5. Mentorship

• Structured (not ad hoc) mentoring of Junior and Intern — code review, architecture guidance, growth planning
• Set technical standards and review gates for junior-delivered work
• Free up delivery-focused Senior time by absorbing the mentoring load that currently competes with their own output

6. Cross-functional

• Partner with DevOps/SRE/Platform to reduce MTTD/MTTR
• Support audit readiness and compliance visibility (PCI DSS context)
• Evaluate emerging AIOps tools and bring recommendations to the team

Requirements

• Background in Computer Science, Engineering, Data Science, or related field (flexible if experience demonstrates it)
• 5+ years in any of DevOps, SRE, Platform Engineering, or Operational/Data Analytics
• Python (primary) — required
• PHP or Node.js (secondary) — at least one, required
• Practical exposure to at least two of: ML fundamentals, AI orchestration, automation/RPA, data analysis
• Prior experience mentoring or leading junior engineers — required for this role specifically (distinguishes from a pure IC senior hire)
• Strong troubleshooting and analytical instincts

Nice to have

• Payments, FinTech, or banking experience
• AWS/GCP/Azure
• Container/orchestration platforms
• Messaging/event-streaming systems
• PCI DSS or regulated-environment experience

Pre-Requisites :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?