Wastezon
Full Stack Engineering Fellow
About the Organization
Wastezon is a Rwanda-based cleantech social enterprise transforming e-waste into opportunity. Its vision is a circular, inclusive digital economy where affordable technology and environmental sustainability go hand in hand. Wastezon refurbishes discarded smartphones and laptops, extending their lifespan while reducing harmful waste. Our core innovation lies in combining AI-powered material identification through a proprietary mineralogy laser scanner with community-driven collection and distribution networks. Beyond products, Wastezon delivers access. Through flexible payment models and local agents, low-income households can afford reliable devices and build digital skills. So far, Wastezon has processed over 1,400 tons of e-waste and provided affordable devices to more than 35,000 households across Rwanda. By linking technology, data, and grassroots systems, we are redefining how emerging markets tackle e-waste, digital inclusion, and climate resilience at scale.
Fellowship Description:
The Full Stack Engineering Fellow will support the development and scaling of Wastezon’s digital platforms, including device traceability systems, agent tools, and data infrastructure powering refurbishment and distribution.
Responsibilities:
Design, build, and maintain web and mobile applications (frontend + backend)
Develop dashboards for tracking devices, agents, and material flows
Integrate APIs and databases to support real-time data systems
Collaborate with hardware and AI teams to connect scanner outputs to platforms
Improve system performance, scalability, and security
Contribute to product design, testing, and deployment cycles
Document code and support technical troubleshooting
Qualifications:
Background in Computer Science, Software Engineering, or related field
Experience with modern frameworks (e.g., React, Node.js, Python, or similar)
Familiarity with databases (SQL/NoSQL) and API development
Strong problem-solving skills and attention to detail
Interest in climate tech, AI systems, and social impact
Time Commitment: 25 hours / week