AIOps Intern

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 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. 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.   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,…