Backend Engineer
24 hours ago
Description :
Job Title : Backend Engineer (Python/Django/DRF)
Reports to : Chief Technology Officer (CTO)
Division : Technology
Location : Remote
Why join us?
- Exciting Projects : Work on a unique platform with real-world impact
- Collaborative Team : Join a talented and friendly team that values innovation and growth
- Professional Development : Opportunities to learn and work with cutting-edge technologies (AI and Blockchain features to be implemented)
- Dynamic Environment : Be part of a thriving startup, with a hands-on mentality, that will work alongside some of the world's largest clients
- International travel will be required in from 2026 (Singapore and London)
Key Responsibilities :
- Design, build, and maintain scalable and secure backend services using Python, Django, and DRF.
- Develop and optimize RESTful APIs for web and mobile clients.
- Collaborate with frontend engineers, product managers, and QA to define technical requirements.
- Write clean, reusable, and testable code following best practices.
- Implement and maintain database schemas, queries, and migrations.
- Ensure application performance, reliability, and security.
- Conduct code reviews, provide feedback, and mentor junior developers.
- Integrate third-party APIs and services when needed.
Preferred Qualifications and Experience :
Required skills & Qualifications :
- Bachelor's degree in computers or higher.
- 4 to 6 years of backend development experience.
- Strong proficiency in Python.
- Hands-on experience with Django and Django Rest Framework (DRF).
- Solid understanding of RESTful API design and best practices.
- Proficiency in working with relational databases (PostgreSQL/MySQL).
- Experience with Git and collaborative workflows (branching, PR reviews).
- Knowledge of unit testing frameworks (PyTest, Unittest).
- Understanding of security best practices in backend development.
Preferred Skills :
- Experience with asynchronous frameworks (Celery, Django Channels, FastAPI).
- Familiarity with NoSQL Databases.
- Exposure to CI/CD pipelines and DevOps tools (Docker, Kubernetes).
- Experience with cloud platforms (AWS, GCP, or Azure).
- Knowledge of microservices architecture.
- Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana)
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