Previous Job
Full Stack developer
Ref No.: 19-08311
Location: Downtown, New York

Role: JS FullStack developer


Project Scope / Work environment

  • Client is  Looking for an expert level technologist/designer/very hands on engineer to will play a role of an evangelist and motivator & to inspire others around the need for innovation and create strong organizational desire for Client solutions and accept ambiguity where overall constraints, requirements or organizational ownership is not clear.

    Mandatory qualifications:
  • 8 + years of relevant work experience post bachelor level computer science & engineering academic qualification. Research level academic qualification is a big plus!
  • Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Objective C, Python, JavaScript, Scala, Clojure, or Go.
  • Expert in HTML, JavaScript, and CSS Skills and deep level experience designing modular, object-oriented JavaScript.
  • Experience with server-side web frameworks such as Node.js, Jade, EJS, etc.
  • Program ( expert level) daily in node.js, AngularJS, Express, Jade, Bootstrap and others.
  • Build out restful endpoints and lightweight aggregation layers and web services API integration (Rest, JSON, XML).
  • Experienced in enabling analytics via tag management and logs.
  • Solid foundation in data structures, algorithms, and OO design and passionate for building algorithms and solving practical real-world problems.

Good to have:

  • Experience in analytics and email integrations (Mailchimp/Google Analytics) iterating based on learnings is a big plus.
  • Experience architecting and building data fabric with Flume, Scribe or Kafka would be a plus.
  • Deep level understanding in big data and have a burning desire to do so now.
  • Big bonus points for experience using scalable data processing tools such as Hadoop, Storm, Spark, Streaming, Shark, etc.
  • Bigger bonus points for experience with building AI or rule engines or other advanced machine learning exp.
  • Solid understanding of deep learning algorithms especially convolutional neural networks.
  • A big plus if candidate has experience in building computationally efficient machine learning systems.
  • Prior exposure to or strong desire to learn Lua and Torch