Python Developer

• 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

• Bachelor’s or master’s degree in computer science, Engineering, or related quantitative field
• 6+ years’ experience in professional software development with Python and Django required (preferably in finance, data, or enterprise domains)
• Deep knowledge of Python libraries (NumPy, Pandas), REST API development, and backend system integration
• Cloud deployment experience (AWS preferred); Docker, Jenkins, and CI/CD tools highly desired
• SQL database expertise (PostgreSQL, MySQL) and understanding of data ETL concepts
• Experience with frontend technologies (Angular, React, JavaScript) is a plus
• Strong communication skills and ability to work in cross-functional Agile team
• Commitment to security, privacy, and regulatory standards

• 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

• 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).

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