The Role:
* Develop scalable backend systems, APIs, and services using Python.
* Solve complex technical challenges, including performance bottlenecks, concurrency, and large-scale data processing.
* Develop automated tests, maintain CI/CD pipelines, and ensure smooth deployment to production.
* Deploy Python libraries, frameworks, and tools to improve development practices.
* Document technical decisions, architectures, and solutions for transparency and future maintenance.
* Convert complex business objectives into clean, efficient, and maintainable software solutions.
Ideal Profile:
* Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
* 7+ years of experience in data science.
* Strong expertise in Python, popular frameworks (Django, Flask, FastAPI), and libraries for data or web applications.
* Experience with databases, both SQL and NoSQL, and designing efficient data models.
* Knowledge of cloud platforms (AWS, GCP, Azure) and deploying production applications.
* Familiarity with testing frameworks, CI/CD tools, and version control best practices.
* Experience handling performance, scalability, and reliability challenges in production systems.
What's on Offer?
* Flexible working options
* Opportunity to make a positive impact
* Great work environment