Inactive
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SHEIN

Global fashion e-retailer with on-demand manufacturing

Database Engineer Intern

Software EngineeringPosted on May 23
Internship · Year-roundSan Diego, CA, USA$30 /hrIn-person

About the Job

Requirements

  • This role is applicable only to 2026 graduates (the graduation date must be prior to November 1, 2026).
  • Bachelor's degree in Computer Science or Information Systems or equivalent technical discipline.
  • MySQL specific database experience.
  • Experience using Azure or any other cloud provider.
  • A solid understanding of distributed/replicated database topologies.
  • Systematic problem-solving approach, combined with a sense of ownership and drive.
  • Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability.
  • Good understanding of Linux system, ability to deploy open-source software independently.
  • Proficient in more than one scripting language (golang/python/shell, etc.).
  • A strong desire to be challenged by problems of scale and complexity to make our service better for our customers.
  • The ability to remain calm in the face of extreme crises. Good verbal and written communication skills, and be able to work effectively with geographically remote teams.
  • AI Competency Requirements (Junior MySQL Operations Engineer): Familiar with mainstream AI coding assistants (e.g., Claude Code, ChatGPT, Gemini) and able to leverage them for day-to-day operations tasks such as SQL optimization suggestions, troubleshooting, and documentation generation.
  • Capable of writing effective prompts and iteratively refining them based on model outputs.
  • Aware of AI model limitations and maintains a habit of manually validating results.
  • Has hands-on experience using AI tools to address real MySQL operations scenarios, such as slow query analysis, parameter tuning recommendations, and incident diagnosis assistance.
  • Understands the fundamentals of RAG (Retrieval-Augmented Generation) and is able to structure database operations knowledge into AI-consumable formats, such as knowledge bases, tuning case libraries, and FAQ documents.
  • Has exposure to AI application frameworks such as LangChain or LlamaIndex, or has basic experience with vector databases (e.g., Qdrant, pgvector).
  • Understands the basics of MCP (Model Context Protocol) integration and is familiar with how AI Agents interact with external tools Maintains a habit of organizing day-to-day operations experience into structured documents or prompt templates for team-wide sharing and reuse.

Responsibilities

  • Maintaining scalable, reliable, and robust production database environments.
  • Monitoring for problems and diagnosing and addressing those problems as needed.
  • Performance tuning, query optimization, and index tuning.
  • Building database tools and scripts to simplify, automate, to reduce operation toil.
  • Responsible for working with development teams and engineers to provide a database design guidance.
  • Handle Database upgrades and migrations, while monitoring and improving database performance.
  • Triage and solve database issues, drive incidents until resolution and employ measures to prevent recurrence.
  • Do capacity planning benchmarking on various databases.
  • Provide assessments of data integrity, high availability, data security, and privacy.

Desired Qualifications

  • Fluency in Mandarin
  • Experience managing MySQL / Percona Server 8 at scale.
  • Experience managing distributed database, like Clickhouse, Hbase, MongoDB and Starrocks etc.
  • Experience with Percona tools, Orchestrator, Ghost etc.

About the Company

SHEIN

Global fashion e-retailer with on-demand manufacturing

SHEIN is a global online fashion and lifestyle retailer that serves customers in more than 150 countries with affordable products. It operates through an on-demand manufacturing model that links suppliers to an agile supply chain, reducing inventory waste and enabling a wide range of items to be produced as orders come in. Customers shop via SHEIN’s online platforms, placing orders that are fulfilled through its network of suppliers and factories. This approach differs from many traditional retailers by relying on on-demand production and a data-driven, far-reaching supply chain to quickly respond to trends while keeping costs low. The company’s goal is to make fashion and lifestyle products accessible to people worldwide by connecting suppliers through its efficient, responsive system.

Company size
10,001+
Company stage
IPO
Headquarters
Singapore, Singapore
Founded
2010

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