Intern or Senior Python Dev (Databases & System Design)

Top 3 reasons to join us

• Premium Healthcare package insurance
• 13th month salary, Performance bonus
• 16 days annual leave

Job description

• Architect and deploy robust, high-performance APIs (preferably using FastAPI) to handle intricate features like Review Bundles and precise visibility control.
• Design clean interfaces and implement strict dependency injection patterns using SOLID principles to keep our codebase modular, decoupled, and easily testable.
• Design, monitor, and optimize highly resilient, fault-tolerant message queuing systems to handle high-throughput background processing.
• Manage schema designs, write optimized queries, and maintain data pipelines across a diverse, multi-model database ecosystem.
• Lead code reviews, enforce strict engineering standards, and mentor mid-level/junior developers in clean coding practices.

Your skills and experience

• Highly proficient in modern Python ecosystem developments (specifically Python 3.12 up to 3.14).
• Extensive, hands-on experience structuring, parsing, and validating complex data schemas using Pydantic.
• You must have hands-on, production experience with at least three (3) of the following database technologies:
  • Neo4j (writing and optimizing Cypher queries)
  • OpenSearch / Elasticsearch (for advanced search and indexing)
  • Vector Databases (specifically Qdrant or Milvus for embedding storage and semantic search)
  • MongoDB (for document-based storage and aggregations)
  • PostgreSQL (specifically leveraging psycopg3 for asynchronous operations)
• Extensive experience using Celery combined with RabbitMQ (or Kafka) to build, scale, and debug complex, distributed, and highly fault-tolerant task pipelines.
• A deep understanding and strict, uncompromising application of SOLID design principles in day-to-day coding:
  • Single Responsibility Principle (SRP)
  • Open/Closed Principle (OCP)
  • Liskov Substitution Principle (LSP)
  • Interface Segregation Principle (ISP)
  • Dependency Inversion Principle (DIP)
• Proven experience building clean abstractions, interfaces, and decoupling business logic from storage engines via the Data Access Layer (DAL).

Nice-to-Haves (Bonus)

• Experience with Docker, Kubernetes, and managing multi-database container setups.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.
• Understanding of system profiling, profiling memory leaks in Python, and API benchmarking.

Why you'll love working here

-      Competitive salary and benefits including Premium Healthcare package insurance

-      13th month salary, Performance bonus

-      16 days annual leave

-      Comprehensive Training Courses (Languages, Technical and Soft-skill)

-      Language Certificate allowance (TOIEC and Japanese)

-      Lunar New Year gifts

-      Lunch and bus/ parking allowance

-      Fun team activities and outings

-      Sponsored happy hour and sport clubs

-      Comfortable work space and friendly colleagues