Python Developer

Collaborate in an Agile environment to deliver robust backend and web solutions using Python and Django, with an emphasis on financial modelling, API delivery, and cloud deployment. 

Responsibilities: 

• Design, build, and maintain scalable backend applications using Python and the Django framework 
• Implement RESTful APIs and integrate third-party services 
• Deploy models and data applications on AWS or similar cloud platforms  
• Work closely with business analysts and data scientists to automate financial workflows and support underwriting and credit modelling 
• Optimize code for performance and scalability; participate in code reviews and collaborative design discussions 
• Work with relational and NoSQL databases (PostgreSQL, Oracle, MongoDB, etc.) and optimize database queries. 
• Support full software development lifecycle: requirement gathering, architecture, development, testing, deployment, and documentation 
• Employ version control (Git), CI/CD pipelines, Containerisation (Jenkins, Docker, Kubernetes) and deployment, and automated testing best practices 
• Troubleshoot and maintain core data pipelines and APIs for loss mitigation, credit models, and financial services applications 

Key Skills to Highlight 

Technical Skills 

• Python programming: Advanced proficiency in software development and scripting 
• Django framework: Building REST APIs, scalable web applications, and modular backend systems 
• Cloud technologies: Experience with AWS or comparable cloud platforms for deployment and scaling 
• Database management: Work with relational and NoSQL databases (PostgreSQL, Oracle, MongoDB, etc.) and optimize database queries. 
• Version control and CI/CD: Git(GitHub Actions, GitLab CI), Jenkins, Docker, Kubernetes for seamless development workflows. Familiarity with containerization (Docker, Kubernetes) 
• Automated testing: Unit, integration, and system testing for reliable code 
• Data analysis libraries: Experience with Pandas, NumPy, and related tools 

Preferred : 

• Experience in financial services / mortgage industry or highly regulated environments. 
• Knowledge of asynchronous frameworks (Celery, RabbitMQ, Kafka). 
• Familiarity with front-end frameworks (React, Angular, or Vue.js). 
• Exposure to data engineering or machine learning integration with Python. 
• Understanding of security best practices (OAuth2, JWT, SSL, SAML).