We are looking a Node.js expert who will design, architect and implement next generation micro-services architecture for one of the most exciting Fintech products in India.
Contact - hr@stucred.com
Exp: 4+ years
Job Description:
We are looking for a motivated and talented MEAN Stack Developer to join our talented and fun dream team.
Must have:
Previous working experience as a Full-stack Developer for 4+ years with a minimum one-year experience with MEAN Full stack paradigm.
In depth knowledge of NodeJS, ExpressJS, AngularJS and MongoDB.
Experience implementing applications using Angular 4.
Experience creating front end applications using HTML5, Angular.
Experience in coding back end applications using Node.js and MongoDB.
Hands on experience with JavaScript Development on both client and server-side.
Consumer Web Development Experience for High-Traffic, Fin-tech applications.
Experience with AWS technologies is a must.
Creating secure RESTful-based web services in XML and JSON, JavaScript.
Compulsory Working Expertise:
1. Node.js
2. AWS Lambda
3. Micro-services Architecture
4. RESTful API
5. Swagger API Framework
6. Mongo DB / Dynamo DB
7. ExpressJS, Angular.js
8. SenecaJS {Bonus}
9. Agile frameworks for project planning, execution and resource management
Skills & Responsibilities:
1. Plan, architect and build our AWS infrastructure for micro-services
2. Develop Node.js functions and templates to create micro-services on AWS Lambda
3. Full ownership and accountability of micro-services which include day-to-day operations and maintenance
4. Ability to work within an agile environment (SCRUM)
5. Excellent communication and interpersonal skills.
Kreon Financial applies Big Data technology to the businesses in its ecosystem. Keon Financial's latest StuCred app leverages a Big Data model to offer loans. Following a comprehensive risk assessment process drawing on relevant models, user data and other relevant data, Kreon Financial developed -2-1-0- online lending, that is, a service standard characterized by a 2-minute application process, and a 1-second loan granting process and all with zero manual intervention. It aims to provide credit totaling over $20 million to over 10 lakh college students over the next 2 years, helping them tackle short-term financial constraints, emergencies and build a positive credit score even before employment.