Python Developer

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 Qualifications: • 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 Technical Skills Key Skills to Highlight • 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) Powered by JazzHR vdY4asiJ5G