Frontend Developer


  • Manage and ensure system operation, analyze system logs, find system troubleshooting errors
  • Programming modules to help monitor, alert with large system
  • Analist Log, fix primary bug, being compliance with the help docs from Product Management Department

What will you do?

Requirements

Benefits

  • Competitive NET salary package
  • 13th month salary
  • 1–4 month salary as annual performance bonus
  • Opportunities to have stock options of a million-dollar company
  • Review salary per 6 months

Salary

Working Environment

  • Leave Paid: 12 days for annual leave
  • Remote: 24 remote working day per year (work from home)
  • Working day: Shifttime, one shift per day
  • Dynamic, flexible and equal working environment
  • Working with a team full of young and passionate talents
  • Free lunch at the office cooked by our own chef
  • Boosting your creativity and productivity at work to the highest level at our modern working place
  • Flexible working hours, no dress code
  • Travelling with the company every year

Training and self-development

  • Being updated with new technologies (Machine Learning, Artificial Intelligence, Nosql, System Design,…)
  • Having chances to provide solutions for real e-commerce problems
  • Learning from the best in the field
  • Experience working with Javascript framework (React + Redux / Angular 2 / VueJS + Vuex, …)
  • Working experience of CSS frameworks (Bootstrap / Foundation / Material, …)
  • Understanding web dev tools (Gulp / WebPack / Less / Sass, …)
  • Understanding one of the following technologies: TypeScript, RxJS, D3JS, Elm, React Native, Xamarin, Cordova
  • Knowledge of Backend and database expertise: MySQL, ElasticSearch, Symfony, Laravel …
  • Know more about other languages like Javascript: PHP, Java, C # …
  • Golang/High performance, High availability in-house microservice platform.
  • Vue.js / jQuery / NodeJS / ES6.PHP / Symfony2 / MVC frameworks.
  • RabbitMQ/ Kafka.Mysql.Redis / ElasticSearch / MongoDB.NIX.Java, Scala / Spark / Hadoop / HBase.
  • Google Cloud Platform, DigitalOcean, BigQuery, Amazon S3.
  • Scikitlearn, Tensorflow, word2vec…and many other ML/AI technologies.

Technologies

Contact

130 Trung Phung Street, Dong Da District, Hanoi

2/3a Nguyen Thi Minh Khai Street, Da Kao Ward, District 1, HCMC