Job Specifications
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).
About the Company
CloudIngest is a full-service tech software firm. Our expert technical team maintains strong core competencies in Big Data, Business Intelligence & Analytics, Cloud Services, Digital Transformations, Mobility Solutions, Natural Language Processing, APIs, Software Development & Integration, Staffing and Staff Augmentation, as well as Kubernetes, DevOps - Ansible and Terraform and Site Reliability Engineers, Azure HDInsights, DataFactory, ADLS Gen2, Azure Analytics Services, HDP ( Hortonworks Data Platform) , HDF ( NiFi) and S...
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