
Principal Software Architect
2 days ago
Job Description
Our organization seeks a skilled Backend Engineer to build the backbone of our smart farm management platform. The ideal candidate will have expertise in NodeJS and Python, strong DevOps capabilities, and proficiency in leveraging AI tools for accelerated development.
This is an individual contributor role requiring high ownership, problem-solving capabilities, and a proactive mindset to design, build, and maintain scalable APIs and microservices.
- 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.
Required Skills & Qualifications
The successful candidate will possess:
a) 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.
b) 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.
c) 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.
d) 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.
e) 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).
f) 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.
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