Python Developer

Overview

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.

• 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 No
  
  SQL databases (
  Postgre
  
  SQL, 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

• 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 No
  
  SQL databases (
  Postgre
  
  SQL, Oracle, MongoDB
  ) and optimize database queries.
• Version control and CI/CD: Git(Git Hub Actions, Git Lab 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, Num Py, and related tools

• Experience in financial services / mortgage industry or highly regulated environments.
• Knowledge of asynchronous frameworks (Celery, Rabbit
  
  MQ, 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).