Full Stack Developer

at Zinrelo

DP
Posted by Smita Bhuimbar
icon
Pune
icon
1 - 5 yrs
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₹6L - ₹16L / yr
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Full time
Skills
Python
Javascript
React.js
Angular (2+)
AngularJS (1.x)
Vue.js
Django
Flask
MySQL
PostgreSQL

Zinrelo is a world leading startup specializing in loyalty rewards programs for businesses. A Full Stack Developer’s role is at the heart of the Zinrelo business. It involves tackling the most challenging problems on the backend & frontend of loyalty and referral programs, mobile applications, business logic, scalability, concurrency etc.. Zinrelo is looking for brilliant, creative computer science graduates with 1-4 years of experience. Candidates should be eager to join a startup that is making a difference for thousands of businesses world-wide.

 

Job Responsibilities 

  • Using Python (Pylons framework) to develop complete product backend for a shopping engine
  • Using the latest non-RDBMS databases such as MongoDB to store dynamic information
  • Development using AWS Lambda, Docker, Javascript and JQuery Using RabbitMQ, MongoDB, Celery to build out functionalities for the loyalty platform.

Job Requirements

  • UG or PG degree from a reputed college in Computer Science or I.T.
  • 1-4 years of experience building web applications.
  • Knowledge of software best practices, like Unit Testing and Continuous Integration (CI)
  • Experience working with, or an interest in Agile Methodologies, such as Extreme Programming (XP) and Scrum
  • Knowledge of design principles and clean coding techniques is a must
  • Proven programming expertise in any backend language a must.
  • Hands-on experience with Devops/AWS tools/technologies like Chef, Ansible, EC2, VPC, CloudFront, AWS Lambda etc is a plus.
  • Experience with source code version control (e.g. CVS) tools a must.
  • Experience with Python or PHP a plus.
  • Experience with development of iPhone and Android applications a definite plus.

About Zinrelo

Zinrelo is an enterprise-grade, loyalty rewards platform that maximizes repeat sales and per-customer revenue through 360-degree customer engagement, data sciences and machine learning.
Founded
2016
Type
Product
Size
20-100 employees
Stage
Profitable
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