Intern or Senior Python Developer

Top 3 Reasons To Join Us Premium Healthcare package insurance 13th month salary, Performance bonus 16 days annual leave The Job 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