Senior Back-End Engineer (Python)
Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
We are looking for a skilled Python Developer with a strong background in Object-Oriented Programming (OOP) to join our team. The ideal candidate will have experience designing, developing, and maintaining scalable and efficient software applications using Python. You should be passionate about writing clean, modular, and reusable code while following best practices in software design.
Functional Responsibilities:
- Design, develop, and maintain high-quality software solutions using Python.
- Apply OOP principles to write modular, reusable, and maintainable code.
- Develop and maintain APIs, microservices, and backend systems.
- Work with databases (SQL/NoSQL) and optimize queries for performance.
- Write unit tests and integration tests to ensure software reliability.
- Collaborate with cross-functional teams including DevOps, frontend developers, and product managers.
- Stay updated on Python best practices, frameworks, and industry trends.
- Participate in code reviews and provide constructive feedback.
Qualifications:
- 5+ years of hands-on experience with Python development.
- Strong understanding of OOP and software design patterns.
- Proven experience with FastAPI or frameworks like Flask or Django.
- Proficiency in working with databases such as PostgreSQL, MySQL, or MongoDB.
- Experience building and consuming RESTful APIs; familiarity with GraphQL is a plus.
- Exposure to LLMs (Large Language Models), Retrieval-Augmented Generation (RAG), and prompt engineering is highly desirable.
- Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
- Solid experience with CI/CD pipelines and automation tools (e.g., GitHub Actions, Jenkins, GitLab CI).
- Experience with testing methodologies and tools such as Pytest and TDD.
- Strong problem-solving abilities and a collaborative mindset.
- Good communication skills in English, both written and verbal.
- Excellent attention to detail.
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