Deepspatial - Full Stack Developer - Node.js/React.js (2-3 yrs)

Posted 15 Hours Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Develop and maintain full-stack web applications using Node.js, React.js, AWS, databases, and geospatial technologies. Design APIs, database schemas, scalable services, real-time data workflows, interactive maps, and data visualizations. Build automated testing, CI systems, Docker workflows, and cloud-based infrastructure while optimizing application performance. Work with GIS formats and OGC standards, maintain test coverage, and apply modern JavaScript development practices.
Summary Generated by Built In

Requirement :
- Must have 2 to 3 years of industry experience as a Full Stack Developer.
- Backend experience with Node.JS, API, serverless/Lambda, SQL/NoSQL, AWS RDS.
- Strong software development fundamentals (data structures, algorithms, etc.)
- Database schema design and DBA skills in setup, optimization and troubleshooting.
- Must have experience with AWS and AWS services such as S3, EC2, EBS, Sage maker, etc.
- Proficiency with web GIS tools, particularly those used for map tiling and creating mashups/ online interactive maps ( QGIS, ArcGIS, Google Maps API, MApBox, Leaflet, Openlayers, Openstreet, ESRI, etc.
- Geospatial Data Experience (SHP, KML, GeoJSON) as well as OGC standards (WMS, WFS)

- Experience with modern web application development with knowledge of JS ecosystems and open-source web frameworks (E.Node.JS/ React/ GraphQL/ PostgreSQL/ Redshift/ Redis/ Kubernetes).
- Knowledge of good practices, preferred design patterns, and writing idiomatic Java script code.
- Real-time data sampling, data analysis, data storage, and data visualization.
- Experience with unit, functional and integration level testing as well as large, complex.
- Building and maintaining Automation and Git CI-systems, Docker and docker based workflows.
- Solid understanding of performance implications and scalability of code.
- Keenness for writing good, meaningful tests and maintaining thorough test coverage.
- Actively track new design standards, programming languages and technologies.
Education : Bachelor Degree in Computer science/ IT or Engineering related Field4-5 years

Functional Areas: Software/Testing/Networking

Skills Required

  • 2 to 3 years of industry experience as a Full Stack Developer
  • Backend development experience with Node.js, APIs, serverless or AWS Lambda, SQL or NoSQL databases, and AWS RDS
  • Strong software development fundamentals, including data structures and algorithms
  • Database schema design and DBA skills in setup, optimization, and troubleshooting
  • Experience with AWS and services such as S3, EC2, EBS, and SageMaker
  • Proficiency with web GIS tools for map tiling, mashups, and interactive maps
  • Geospatial data experience with SHP, KML, and GeoJSON, plus OGC standards including WMS and WFS
  • Experience with modern web application development and JavaScript ecosystems, including Node.js, React, GraphQL, PostgreSQL, Redshift, Redis, or Kubernetes
  • Knowledge of design patterns, development best practices, and idiomatic JavaScript
  • Experience with real-time data sampling, analysis, storage, and visualization
  • Experience with unit, functional, and integration testing
  • Experience building and maintaining automation and Git CI systems, Docker, and Docker-based workflows
  • Understanding of code performance and scalability
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
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The Company
HQ: White Plains, NY
93 Employees
Year Founded: 2010

What We Do

DeepSpatial is a GeoAI company that helps organizations use location and other data to make better decisions. Its platform applies AI and spatial analytics to visualize, predict, analyze, and optimize operations, helping customers mitigate risks and pursue opportunities. The company develops AI-powered software for business and government use, with applications including customer profiling, pricing recommendations, inventory and supply-chain analytics, and brand sentiment monitoring.

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