Senior Fullstack Enginer (Python & React) (London Area)

Senior Full Stack Software Engineer – Passenger Flow Modelling

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 systems.

Key Responsibilities:

• Interpret and Implement Mathematical Logic: Understand and translate pre-defined passenger flow modelling logic into efficient Python code.

• Backend Development: Build robust and maintainable backend components, utilizing Python-based frameworks like Flask, FastAPI, or Django.

• API Integration: Develop and integrate with existing RESTful APIs, ensuring seamless data flows between backend and frontend components.

• UI Integration: Collaborate with front-end developers to ensure proper integration of backend logic with the ReactJS user interface.

• Optimization: Continuously optimize the Python code for performance, ensuring minimal computational cost and maximal scalability.

• Collaboration: Work closely with project stakeholders to refine requirements, align expectations, and deliver on technical needs.

• Documentation and Code Quality: Write high-quality, maintainable code with thorough documentation. Conduct code reviews to ensure best practices are followed.

Required Skills and Qualifications:

✅ Python Expertise:

• Advanced Python skills with experience in backend frameworks like Flask , FastAPI , or Django .
• Ability to write efficient, reusable, and scalable code.
• Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling.
• Strong understanding of data structures , algorithms , and complexity analysis .

✅ Mathematical or Computational Modelling:

• Experience with implementing mathematical models in Python, particularly in fields such as transportation or flow analysis .
• Ability to interpret and convert pre-defined modelling logic into working code.

✅ Full Stack Development:

• Proven experience in full stack development , with the ability to work on both backend (Python) and frontend (ReactJS).
• 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 systems.

✅ Database Knowledge:

• Solid understanding of SQL and/or NoSQL databases (e.g., MySQL , PostgreSQL , MongoDB ).
• Experience designing data models and optimizing queries for performance.

✅ Cloud and Containerization:

• Experience working with cloud platforms like AWS , Azure , or Google Cloud .
• Familiarity with Docker , Kubernetes , or other containerization technologies, particularly for deployment and scaling of applications.

✅ Version Control & CI/CD:

• Proficiency in Git for version control.
• Experience with CI/CD pipelines for streamlined development and deployment processes.

✅ Problem-Solving & Optimization:

• Strong analytical and problem-solving skills, with the ability to optimize code for performance and scalability.
• Familiarity with performance optimization techniques for computational models, particularly when dealing with large datasets or complex calculations.

✅ Collaboration & Communication:

• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams, including front-end developers, project managers, and stakeholders.
• Ability to document and explain complex technical concepts clearly.

Nice to Have:

• Experience with transportation or logistics systems , particularly related to passenger flow , traffic analysis , or queueing theory .
• Familiarity with integrating Python-based models into enterprise systems and understanding the challenges around this process.

Location:

• Hybrid. Office located in London. (Hayes area).
• Office presence required: Yes.
• Frequency: 2-3 times a week at the office.

Some of the benefits you’ll enjoy working with us:

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.
• A highly competitive compensation package.
• Medical insurance.

Come and join our #ParserCommunity.

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