Full Stack Lead Engineer (RoR/NodeJS)

  • Company:
    Furlenco
  • Location:
  • Salary:
    negotiable / month
  • Job type:
    Full-Time
  • Posted:
    1 week ago
  • Category:
    IT & Software

Skill: fundamentals , algorithms , html5 , data mining , artificial intelligence , sql , docker , grunt , ror , data structures , mongodb , hbase , mobile , problem solving , machine learning , nosql , written communication , cassandra; Exp: 4-7 years; Full Stack Lead Engineer (RoR/NodeJS) CALLING ALL GEEKS! We may not be Comic Con, but we still love ourselves a geek. Especially the ones who can make technology calls, work across the entire stack, and switch between rapid prototyping and building scalable systems. You work on the core components of Furlenco technology stack – from the platforms powering our web portal, mobile apps, our customer experience systems, the warehouse management systems, and the billing, invoicing, and payment systems. You will be part of a rewarding and challenging start-up environment. So, if you think you truly understand data structures, Relational and NoSQL databases, RESTful web services, Object Oriented Design and Patterns, and more such geeky things, send us your CV, and lets talk salaries! Basic Qualification Bachelor in Computer Science or related field 4 years of experience in software development and full product life-cycles Coding skills in ES5 / ES6 / ES7 coupled with strong base in object-oriented design and functional programming You understand basic data structures & algorithms Experienced with relational databases, RESTful web services and have good working knowledge of SQL. Experience on any of frameworks such as Express, Koa, Sails, StrongLoop etc. Experience any of the frontend frameworks – Angular, React, VueJS Web fundamentals like HTML5 and CSS3 Good design and prototyping skills Familiarity with build tools like Webpack, Gulp, Grunt Excellent problem solving skills and understand of Object Oriented Design and Patterns – GoF, anyone? Strong verbal and written communication skills. Ability to technically lead small to mid-size teams and mentor junior members PREFERRED QUALIFICATIONS Advanced degree Masters or higher in Computer Science/related field. Familiarity with Docker/Kubernetes on AWS or any other cloud provider Experience working with a micro-services based platform Basic knowledge in machine learning, data mining, artificial intelligence, statistics. Experience with non-relational databases (MongoDb, Cassandra, Hbase, DynamoDb), designing schemas

Software Engineer

Degree: 

Experience: 4-7

Function: IT Software : Software Products & Services