Python/Javascript Developer (100% Remote)

Python Full-Stack Developer 

Location: Remote

Terms: Full-Time 

As a Python Full-Stack Developer, you will be working as a part of the product team to develop interactive cross-browser data-driven applications using open source tools (primarily Apache SuperSet) and Platforms.

Requirements and General Skills: 

• Design web-scale products following best coding principles optimised coding practices and using open source tools.
• The routine day involves writing code for web applications, coding rest API's, integrating apps with VeracityID's cloud platform
• Actively participate in product review meetings and contribute with ideas for improvement.
• Develop new user-facing features.
• Build reusable code and libraries for future use.
• Proactively identify potential problems and opportunities to improve applications and processes, with emphasis on usability, performance, and security
• Document the development process, architecture, and standard components
• Deployment of applications on AWS or similar platform

Qualification & Technical Skills:

• BS Comp Science or equivalent degree with 3+ years of proper experience.
• Expert with Python, HTML, CSS, React JS JavaScript, JQuery, Bootstrap
• Front end frameworks like React JS.
• Python as backend programming languages with Django/Flask framework.
• Experience with visualisation frameworks (D3Js, Google Charts, High charts).
• Knowledge of popular relational and non-relational databases like PostgreSQL
• Experience with GitHub
• Cloud platforms - AWS

Company Description

VeracityID, Inc. is a SaaS, ‘big data’ company focused on providing real-time fraud detection and intervention services to the Financial Industry – with a particular focus on the Global Retail Insurance Industry. Founded in, VeracityID’s services platform leverages leading-edge Graph, PostgreSQL, ElasticSearch, Machine Learning, Mobile and other technologies into an integrated platform – idFusion.

idFusion combines live production data with (historical) graph and structured data sets into a lifecycle view of policies and carrier books, to help insurers automate analytics and interventions and critical decision processes at the point of sale and throughout the product lifecycle.