NodeJS Developer

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

Your Opportunity

You will primarily be responsible for implementing features & building platforms to enable on-device and device/server-side combined ML workflows. You will possess strong skills in object-oriented software design and programming. You are excited about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design.

Your Impact

To design, architect, develop and maintain the backend for AI products by working closely with the Engineering Team. To ensure successful consumption of Saarthi.ai technology by APIs, SDKs, or Applications, thereby enabling productization and monetization of the AI solutions.

What You’ll Do

· Work with development teams and product managers to ideate software solutions

· Design server-side architecture

· Along with SAAS application deliverables even the client-side deliverables need to be taken care

· Develop and manage well-functioning databases and applications

· Write effective APIs

· Test software to ensure responsiveness and efficiency

· Troubleshoot, debug and upgrade software

· Create security and data protection settings

· Build features and applications with a mobile responsive design

· Write technical documentation

· Work with data scientists and analysts to improve software

What You Bring

· Proven experience as a Back-End Developer or similar role.

· Experience developing desktop applications.

· Strong working experience with back-end development using Node.JS, JavaScript.

· Strong knowledge of databases (MongoDB, PostgreSQL).

· Experience with System Design and Architecture.

· Familiarity with common stacks.

· Familiarity with Parallel Threading, Concurrent calling and Aggregation Queries.

· Ability to write quality unit tests

· Setting up CI/CD, and integrating with logging and monitoring systems for the products or platforms

· Excellent communication and teamwork skills.

· Degree in Computer Science, Statistics or relevant field

• Expert knowledge of computer science, with strong competencies in data structures, algorithms,

  and software design.

• Strong understanding of end-to-end architectures and development frameworks; knowledge

  across tiers in a multi-tier cloud environment including load balancers, web servers, application

  containers, data stores, and distributed caches.

• Minimum 6 years of experience with deep technical knowledge and hands on skills in Java.

• Has worked extensively on caching technologies such as Redis, memcache.

• Should be strong with Data Strcutures, Algorithms & OOPs concepts.

• Worked on NoSQL databases such as MongoDb.

• Designed and developed highly scalable multi-threaded large scale distributed systems.

• Well versed with services and micro-services architecture.

• • Usage of containers, virtual machine systems, cloud computing.