Software Engineer – Python

The Software Engineer (SE) is responsible for writing software programs, writing tests, fixing bugs, reporting status and issues, and is accountable for any unit test leakage.

Responsibilities

• To develop software program with limited support from senior engineers
• To write code in compliance with established coding quality standard of the company
• To write unit tests and run through all the test cases for assigned tasks and ensure all cases tested and passed before release for testing
• To be able to securely and effectively use the AI in the SDLC
• To self-train on new technologies
• To implement strictly all the customer’s process if being requested, company’s processes and systems complied with CMMi standard.
• To report directly to the Project Manager/Project Leader for project related issues and his/her line manager for all other issues including problems in a project
• To have authority on all the matters related to programming tasks assigned by the Project Manager/Project Leader in charge
• To be liable for keeping the confidentiality of all technological and business secrets of the Company during the employment

Qualifications

• At least 1 year of experience in Python, with hands-on experience in frameworks such as Django, Flask, FastAPI, or Falcon. Knowledge of Go is a plus.
• Good understanding of OOP, SOLID principles, clean architecture, coding standards, and code quality.
• Experience in web service development using REST or SOAP.
• Proficiency in SQL databases, particularly PostgreSQL and Amazon Redshift.
• Familiarity with SQLAlchemy or other ORM frameworks is a plus.
• Basic understanding of NoSQL or graph databases such as Neo4j. Solid knowledge of HTML5, CSS3, JavaScript, TypeScript, and AJAX.
• Familiarity with at least one modern front-end framework, such as React, Vue.js, Angular, or Next.js.
• Understanding of front-end development tools and libraries such as Webpack, Vite, and Storybook.
• Basic knowledge of unit testing, web security, and application performance.
• Familiarity with message brokers such as Kafka is a plus.
• Basic knowledge of Generative AI and experience using common AI tools in the SDLC, such as GitHub Copilot, Claude Code, or Cursor.
• Ability to review and validate AI-generated outputs before applying them.
• Experience working in an Agile/Scrum environment.
• Ability to understand technical materials in English and handle everyday work-related conversations.
• Good problem-solving skills, with a strong interest in software development and continuous technical learning.