Python Developer

Job Description

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 applicationsQualifications:

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

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 toolsPreferred :

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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