SW Tools - UI/Java Script/Angular/Node Java Script

Location: Bengaluru
Specialization: IT Software - Application Programming / Maintenance,
Industry NA
Reference: 25030

Web Developer mainly working in MEAN Stack with 5-9 years of relevant experience with strong problem solving, Data Structure & Algorithm.

  • The individual will be responsible for Architecture, Designing, Developing, Testing, Code- Reviewing and supporting tools for the development of Web based Failure analysis framework.
  • Strong analytical, problem solving, and troubleshooting skills
  • Strong foundation in computer science fundamentals: data structures, algorithms,and coding
  • Strong object-oriented programming skills
  • Good understanding of common design patterns and principles
  • Proven excellence in diagnosing/debugging complex system problems using dumps, traces or other diagnostic tools
  • The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment.
  • Excellent communication (written and verbal) andorganizational skills.
  • Comprehensive knowledge and understanding ofdivision/business unit strategic objectives and goals.
  • Experience in Full Software Lifecycle Development Process including design,development, testing and implementation of moderate to advanced complexity systems
  • Experience level of 5 to 9 years of relevant experience

The following skills are required for various positions:

  • Front End Development : Angular , React , html5 , css3, bootstrap,Javascript
  • Server Side: Node.Js
  • Database: MongoDB, SQL, ELK Stack
  • Unit test Framework
  • Languages: Javascript, Core Java, Python (working knowledge)
  • Tools: Git, Jenkins, Docker
  • Others: Data Structures, Algorithms, network security

Additional Requirements (Good to have) :
Having Worked on ML projects and working knowledge of following will be added advantage:

  • Experience in Machine Learning (Random Forest, Decision Trees, SVM, NLP,
  • Gradient Boosting, Supervised/Unsupervised Learning, Clustering, classification and regression modeling)