Smart Farm Management Platform Developer

9 hours ago


Thāne, Maharashtra, India beBeeBackend Full time ₹ 12,00,000 - ₹ 24,00,000
Job OverviewWe are seeking a highly skilled Backend Engineer to join our team. The ideal candidate will have deep expertise in NodeJS and Python, strong DevOps capabilities, and proficiency in leveraging AI tools for accelerated development.
RequirementsTechnical Requirements:
  • Design, build, and maintain scalable APIs and microservices using NodeJS and Python
  • Architect multi-tenant SaaS systems with proper data isolation and tenant management
  • Implement GraphQL and RESTful APIs with focus on performance and reliability
  • Build data processing pipelines and real-time systems for agricultural applications
DevOps & Infrastructure:
  • Set up and manage cloud infrastructure (AWS/GCP/Azure) and deployment automation
  • Build and maintain CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring systems
  • Drive infrastructure decisions that enable rapid iteration while maintaining system reliability
Data & Integration:
  • Design and optimize database schemas for complex agricultural data (SQL and NoSQL)
  • Implement multi-tenant data architecture with proper tenant isolation and security
  • Build integrations with IoT devices, external APIs, and third-party services
  • Implement data validation, processing pipelines, and API development for frontend consumption
AI-Augmented Development:
  • Leverage AI coding assistants (GitHub Copilot, Claude, etc.) to accelerate development workflows
  • Use AI tools for code review, documentation generation, and optimization
  • Stay current with AI development tools and advocate for their adoption across the team
Security & Performance:
  • Implement authentication, authorization, and security best practices
  • Design tenant-aware security models and access control systems
  • Optimize application performance for real-time systems and rural connectivity challenges
  • Build resilient systems with proper error handling and recovery mechanisms


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