Backend Architect

1 day ago

Mumbai, Maharashtra, India beBeeBackend Full time ₹ 15,00,000 - ₹ 20,00,000
Backend Expertise Required

We are seeking an experienced and highly skilled Backend Professional to design, implement, and maintain robust server-side infrastructure for a leading farmer advisory services application.

The successful candidate will be responsible for building scalable, high-performance backend systems that can process and analyze geospatial and agricultural data efficiently.

  • Develop and architect scalable backend services and RESTful APIs for the farmer advisory app.
  • Integrate ArcGIS Server and geospatial capabilities into backend infrastructure to process spatial data and provide mapping services.
  • Optimize data storage and retrieval mechanisms, focusing on spatial databases such as PostGIS.
  • Develop algorithms for processing large datasets, including agricultural and geospatial data, to provide real-time insights.
  • Implement secure authentication, authorization, and data handling procedures to ensure data privacy and security.
  • Collaborate with mobile developers to ensure seamless integration between frontend and backend systems.
  • Design microservices architecture, ensuring modular and flexible backend components for enhanced scalability.
  • Continuously monitor and optimize backend performance, addressing bottlenecks and ensuring high availability.
  • Conduct code reviews and contribute to the development of technical documentation to maintain best practices.
Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (Masters degree is a plus).
  • At least 5 years of experience in backend development, particularly in building scalable and high-performance systems.
  • Proven experience in programming languages such as Python, Java, or Node.js.
  • Proficient in web frameworks like Django, Spring Boot, or Express.js, with a deep understanding of RESTful API design.
  • Extensive experience with ArcGIS Enterprise and ArcGIS Server for integrating geospatial capabilities.
  • Strong knowledge of both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases, with an emphasis on geospatial extensions like PostGIS.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud, including services like Lambda, EC2, or Kubernetes.
Desirable Qualifications
  • Experience with real-time data processing, streamlining technologies, or event-driven architecture.
  • Familiarity with integrating machine learning models into backend systems for real-time prediction and data processing.
  • Understanding of agricultural data and domain-specific requirements in processing geospatial and agricultural datasets.
  • Experience with GraphQL for API development, providing flexibility in frontend-backend interactions.
Attributes
  • Strong problem-solving and analytical skills, with a focus on performance optimization and scalability.
  • Excellent communication and collaboration skills, able to work effectively in cross-functional teams.
  • Self-motivated and proactive in identifying potential challenges and solutions.
  • Commitment to writing clean, maintainable, and well-documented code.
  • Possession of passion for using technology to develop innovative solutions that drive value in the agricultural industry.

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