Agricultural Software Engineer

We are seeking an experienced Backend Engineer to join our team in building a smart farm management platform. This is an individual contributor role requiring high ownership, problem-solving capabilities, and a proactive mindset.

• Backend Development:

• 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.

• Core Backend Technologies:

• Strong expertise in NodeJS with experience building production-grade APIs and microservices.
• Proficient in Python for data processing, automation scripts, and agricultural analytics.
• Experience with modern frameworks (Express.js, FastAPI, Django) and architectural patterns.
• Solid understanding of RESTful APIs and GraphQL service design.

• DevOps & Infrastructure:

• Hands-on experience with Docker, Kubernetes, CI/CD pipelines.
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, or equivalent).
• Strong understanding of AWS/GCP/Azure cloud services and deployment automation.
• Experience with monitoring tools (Prometheus, Grafana, ELK stack) and log management.

• Database & Data Systems:

• Experience with SQL databases (PostgreSQL/MySQL) including complex query optimization.
• Familiarity with NoSQL databases (MongoDB, Redis, InfluxDB for time-series data).
• Understanding of multi-tenant database design patterns and data isolation strategies.
• Experience with database performance tuning and scaling strategies.

• AI & Development Tools:

• Proficiency with AI coding assistants and prompt engineering for development tasks.
• Experience using AI tools for code generation, debugging, and documentation.
• Understanding of how to integrate AI/ML models into backend systems.
• Ability to evaluate and adopt new AI development tools effectively.

• Professional Skills:

• Strong problem-solving and debugging skills with complex distributed systems.
• Ability to work in a fast-paced startup environment with high ownership and accountability.
• Experience with agile development practices and version control (Git).

• Nice-to-Have Skills:

• Passion for sustainability and alignment with sustainable systems & regenerative agriculture mission.
• Experience with SaaS billing systems and subscription management.
• Experience with IoT frameworks and protocols (MQTT, LoRaWAN).
• Knowledge of GIS data processing and spatial analysis.
• Experience with time-series databases and real-time data streaming.
• Understanding of agricultural domain knowledge.
• Experience with serverless architectures and event-driven systems.
• Knowledge of machine learning deployment and MLOps practices.
• Familiarity with edge computing and rural connectivity challenges.

This is an exciting opportunity to join our innovative team and contribute to shaping the future of smart farming