AIOps Intern

Razer; Shah Alam; On-site; MYR 17,000 - 23,000; Part time

Job summary

Razer is seeking Data & Automation Engineering Interns to support payment reporting, data pipelines, reconciliation, and operational intelligence workloads. You will work with a small team across a global environment to enhance internal tools and automate workflows.

The internship focuses on practical engineering tasks, debugging production issues, validating data, and learning how dashboards and lakehouse migrations support business operations.

Qualifications

• Pursuing Computer Science, Software Engineering, Data Engineering or related studies.
• Careful, curious, and comfortable with practical engineering tasks that involve payment, reporting, reconciliation and decision support.
• Interest in backend engineering, data reporting, automation, AI-assisted operations, or payment systems.

Responsibilities

• Assist with ad-hoc data reporting, troubleshoot production bugs, and improve internal tools.
• Help document recurring issues and known reporting logic, and assist with automation scripts.
• Work with engineers to improve reliability, observability and maintainability of internal reporting workflows.
• Contribute scripts or small tools to reduce repetitive manual work.
• Support data extraction, transformation and reconciliation tasks.

Skills

SQL queries

API integration

reporting workflow

data extraction

automations

testing internal tools

observability

workflow automation

Education

Pursuing CS/Software Engineering/Data Engineering

Tools

Laravel

PHP

Node.js

Python

Shell scripting

Docker

Git

GitLab

CI/CD

Linux command line

MySQL

PostgreSQL

ClickHouse

DuckDB

Kafka

S3

Job description

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 experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities

We are looking for Data & Automation Engineering Interns to support a growing set of internal agentic payment, data reporting, reconciliation, and operational intelligence workloads.

The team currently supports multiple initiatives with a small engineering group, including AI-assisted operations, ad-hoc data reporting, merchant health monitoring, fraud early detection, reconciliation automation, lakehouse migration, revenue analytics, and internal/merchant-facing chatbot systems.

This internship is focused on practical engineering support: helping the team orchestrate ad-hoc data reporting, troubleshoot production bugs, improve internal tools, validate data outputs, and assist with automation workflows. The role is suitable for interns who want exposure to real payment systems, data pipelines, reporting workflows, and applied AI/agentic systems.

Required Skills

• outputs.
• Assist with simple backend changes, SQL queries, API integration fixes, and reporting workflow improvements.
• Support data extraction, transformation, and reconciliation tasks.
• Help document recurring issues, operational steps, and known reporting logic.
• Assist in testing internal tools, chatbot workflows, RAG knowledgebase responses, and automation scripts.
• Work with engineers to improve reliability, observability, and maintainability of internal reporting workflows.
• Help reduce repetitive manual work by contributing scripts, small tools, or workflow automation.

Preferred Skills

• Experience with Laravel, PHP, Node.js, Python, or shell scripting.
• Familiarity with dashboards, reporting tools, ETL/ELT, or data pipelines.
• Exposure to Docker, Git, GitLab, CI/CD, or Linux command line.
• Basic understanding of APIs, webhooks, authentication, or background jobs.
• Interest in AI agents, chatbots, RAG systems, vector search, or workflow automation.
• Experience with data tools such as MySQL, PostgreSQL, ClickHouse, DuckDB, Kafka, S3, or similar technologies is a bonus.

What Interns Will Learn

• How real payment reporting and reconciliation workflows operate.
• How internal engineering teams support ad-hoc business reporting.
• How production bugs are investigated and fixed in real systems.
• How data pipelines, lakehouse migration, dashboards, and automation tools support business operations.
• How AI-assisted tools and RAG systems can be applied in payment operations.
• How to work safely with financial data, reporting accuracy, and operational constraints.

Suitable Candidates

This role is suitable for Computer Science, Software Engineering, Data Engineering, Information Systems, or related students who are interested in backend engineering, data reporting, automation, AI-assisted operations, or payment systems.

The ideal candidate is careful, curious, and comfortable working on practical engineering tasks rather than only building demos. Accuracy matters because the systems involve payment, reporting, reconciliation, and business decision support.

Internship Outcome

By the end of the internship, interns are expected to have contributed to real reporting, automation, reconciliation, or bugfix tasks, with measurable improvements such as reduced manual reporting effort, faster issue investigation, cleaner documentation, improved data validation, or small production-ready tool enhancements.

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?