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.

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