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This position offers you the opportunity to join a fast growing technology organization that is redefining productivity paradigms in the software engineering industry.
Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.
We are seeking a Senior Full Stack Engineer with a strong foundation in Python development and experience in mathematical modelling for a short-term project focused on passenger flow modelling. The primary task will involve interpreting pre-defined modelling logic and translating it into an efficient, Python-based solution, which will then be integrated with an existing UI (ReactJS) and API
.
This is an ideal opportunity for someone who excels in backend development, is comfortable with integration work, and has experience with large-scale, performant system
s.
Key Responsibiliti
- es:Interpret and Implement Mathematical Logic: Understand and translate pre-defined logic into efficient Python co
- de.Backend Development: Build robust and maintainable backend components, utilizing Python-based frameworks like Flask, FastAPI, or Djan
- go.API Integration: Develop and integrate with existing RESTful APIs, ensuring seamless data flows between backend and frontend componen
- ts.UI Integration: Collaborate with front-end developers to ensure proper integration of backend logic with the ReactJS user interfa
- ce.Optimization: Continuously optimize the Python code for performance, ensuring minimal computational cost and maximal scalabili
- ty.Collaboration: Work closely with project stakeholders to refine requirements, align expectations, and deliver on technical nee
- ds.Documentation and Code Quality: Write high-quality, maintainable code with thorough documentation. Conduct code reviews to ensure best practices are follow
ed.
Required Skills and Qualificati
ons:
✅ Python Exper
- tise:Advanced Python skills with experience in backend frameworks like Flask, FastAPI, or Dj
- ango.Ability to write efficient, reusable, and scalable
- code.Experience with libraries like NumPy, Pandas, SciPy, or any others commonly used in data processing or model
- ling.Strong understanding of data structures, algorithms, and complexity anal
ysis.
✅ Mathematical or Computational Mode
- lling:Experience with implementing mathematical models in Python, particularly in fields such as transportation or flow ana
- lysis.Ability to interpret and convert pre-defined modelling logic into working
code.
✅ Full Stack Devel
- opment:Proven experience in full stack development, with the ability to work on both backend (Python) and frontend (Re
- actJS).Familiarity with state management tools such as Redux or React
- Query.Experience working with REST APIs, integrating backend logic with UI components and ensuring smooth data flow between s
ystems.
✅ Database Kn
- owledge:Solid understanding of SQL and/or NoSQL databases (e.g., MySQL, PostgreSQL, M
- ongoDB).Experience designing data models and optimizing queries for perf
ormance.
✅ Cloud and Containe
- rization:Experience working with cloud platforms like AWS, Azure, or Goog
- le Cloud.Familiarity with Docker, Kubernetes, or other containerization technologies, particularly for deployment and scaling of appl
ications.
✅ Version Control &a
- mp; CI/CD:Proficiency in Git for versio
- n control.Experience with CI/CD pipelines for streamlined development and deployment
processes.
✅ Problem-Solving & Op
- timization:Strong analytical and problem-solving skills, with the ability to optimize code for performance and s
- calability.Familiarity with performance optimization techniques for computational models, particularly when dealing with large datasets or complex ca
lculations.
✅ Collaboration & Co
- mmunication:Excellent communication skills, with the ability to collaborate effectively with cross-functional teams, including front-end developers, project managers, and s
- takeholders.Ability to document and explain complex technical conce
pts clearly.
- Nice to Have:
Experience with transportation or logistics systems, particularly related to passenger flow, traffic analysis, or qu - eueing theory.Familiarity with integrating Python-based models into enterprise systems and understanding the challenges around
this process.