Full Stack Developer

About Aurassure

Aurassure is a fast-growing climate technology company that transforms raw environmental signals into real-time, operational intelligence for cities, enterprises, industries, and communities. Integrating hyperlocal IoT monitoring hardware, dense sensor networks, cloud analytics, and AI-based forecasting, Aurassure provides granular visibility into air quality, extreme weather, heat stress, and urban flooding.

Position Overview: 

We are looking for a skilled and motivated Full Stack Web Developer to join our dynamic team to build data-rich web platforms for environmental, weather, and air-quality intelligence. You will develop end-to-end applications — from interactive, map-driven dashboards built with React/Next.js and TypeScript, to high-performance Python (FastAPI) and Node.js backend services that process large scientific and geospatial datasets. You will collaborate with cross-functional teams to design, build, and deploy scalable, cloud-native web solutions.

Responsibilities:

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  Develop highly secure, efficient, scalable and reliable web applications end-to-end.

  
  


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  Build responsive, data-rich user interfaces using React.js, Next.js (App Router), TypeScript, and Tailwind CSS.

  
  


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  Create interactive map and visualization components (e.g., Leaflet / react-leaflet) for geospatial and time-series data such as weather forecasts and air-quality measurements.

  
  


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  Design and implement efficient, well-documented REST APIs using Python (FastAPI) and/or Node.js to enable smooth data flow between frontend and backend systems.

  
  


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  Build backend services and pipelines that ingest, process, and serve large scientific datasets (e.g., using pandas, NumPy, xarray) from external APIs and data sources.

  
  


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  Containerize applications with Docker / docker-compose and deploy them to cloud environments, including Google Cloud Platform (Cloud Run, Cloud Build, Cloud Scheduler).

  
  


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  Automate scheduled data-fetching, processing, and reporting jobs, with proper secrets management and monitoring.

  
  


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  Optimize web applications and APIs for maximum performance, caching, and scalability.

  
  


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  Write clean, well-documented, and maintainable code following industry best practices and coding standards.

  
  


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  Conduct thorough testing and debugging to identify and fix issues before deployment.

  
  


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  Collaborate with Product Designers, Product Managers, Domain Scientists, and Developers to deliver compelling user-facing products.

  
  


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  Stay up-to-date with emerging technologies (including AI-assisted development workflows) and propose improvements and innovative solutions.

  
  


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  Work in an Agile/Scrum development environment, participate in sprint planning, and deliver projects on time.

  
  

Requirements:

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  Bachelor's/Master's degree (Any Stream).

  
  


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  Proven experience as a Full Stack Web Developer building production web applications.

  
  


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  Strong proficiency in frontend technologies: HTML, CSS, JavaScript, TypeScript, React.js, and Next.js.

  
  


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  Solid backend experience with Python (FastAPI/Flask) and/or Node.js (Express.js), including designing RESTful APIs.

  
  


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  Experience working with data-processing libraries such as pandas and NumPy, and handling structured data formats (JSON, CSV, Excel).

  
  


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  Experience with database technologies like PostgreSQL, MySQL, MongoDB, or SQLite.

  
  


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  Working knowledge of Docker and container-based development and deployment.

  
  


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  Strong understanding of the basic web technology stack (HTTP, WebSockets, APIs) and the Linux operating system.

  
  


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  Knowledge of version control systems, particularly Git, and collaborative workflows (branching, pull requests).

  
  


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  Strong problem-solving skills and attention to detail.

  
  


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  Excellent communication and interpersonal skills to work effectively within a team.

  
  


• Experience- 3- 4 years

Preferred Skills:

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  Experience with mapping and geospatial visualization libraries (Leaflet, Mapbox, or similar) and charting libraries.

  
  


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  Hands-on experience with Google Cloud Platform — Cloud Run, Cloud Build, Cloud Scheduler, Secret Manager

  
  


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  Experience setting up CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins, etc.).

  
  


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  Familiarity with scientific/meteorological data formats and tools (NetCDF, GRIB, xarray, matplotlib, cartopy).

  
  


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  Familiarity with authentication and authorization mechanisms, such as JWT and cookies.

  
  


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  Experience building real-time applications with Apache Kafka / Redis.

  
  


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  Knowledge of Kubernetes and infrastructure automation.

  
  


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  Experience using AI-assisted coding tools (e.g., Claude, Copilot) effectively in a professional workflow.