CloudIngest
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. 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 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 ) 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).
#J-18808-Ljbffr
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 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 ) 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).
#J-18808-Ljbffr