Description
Join Razer's global mission to revolutionize gaming as an AIOps Intern.
Razer's 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.
Job Responsibilities
As a Data & Automation Engineering Intern, you'll support internal agentic payment, data reporting, reconciliation, and operational intelligence workloads.
The team currently supports multiple initiatives, 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.
Your main responsibilities will be:
- Assisting in preparing, validating, and orchestrating ad-hoc data reports requested by internal teams.
- Supporting bug investigation and bugfixes for reporting, reconciliation, dashboard, and automation-related systems.
- Verifying data correctness across source systems, reports, dashboards, and generated outputs.
- Assisting with simple backend changes, SQL queries, API integration fixes, and reporting workflow improvements.
- Supporting data extraction, transformation, and reconciliation tasks.
- Documenting recurring issues, operational steps, and known reporting logic.
- Testing internal tools, chatbot workflows, RAG knowledgebase responses, and automation scripts.
- Improving reliability, observability, and maintainability of internal reporting workflows.
- Reducing repetitive manual work by contributing scripts, small tools, or workflow automation.
Required Skills
- Basic programming knowledge in at least one language such as PHP and Python.
- Basic SQL knowledge, including joins, filtering, aggregation, and data validation.
- Comfortable reading logs, debugging errors, and tracing issues across systems.
- Able to work with structured data such as CSV, JSON, database tables, and API responses.
- Willing to learn payment domain concepts, reconciliation flows, reporting logic, and operational workflows.
- Good attention to detail, especially when handling financial or reporting data.
- Able to document findings clearly and escalate issues with enough technical context.
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.
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.
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.