Founding Full-Stack Engineer at Tunga

October 30, 2025 •

Posted 1 week ago

Job Description

Tunga helps you source the right IT professionals from the last frontier in talent acquisition: Africa, using a personalised approach.

Founding Full-Stack Engineer

Role Overview

  • Refactor and professionalise the current React/TSX, Node.js, SQL, and CSS codebase for stability, scalability, and maintainability.
  • Develop and deploy new platform features, including dashboards, KPI engines, guided uploads, emissions calculators, and third-party integrations (ERP, sensor data, CRM).
  • Lead AI integration and experimentation, connecting large language models (LLMs), APIs, and AI-driven features.
  • Oversee backend and database development, ensuring clean architecture, data integrity, and seamless data flow (Supabase / Postgres).
  • Set up CI/CD pipelines, version control, and deployment workflows.
  • Collaborate closely with the founder and sustainability experts to translate business needs into technical architecture.
  • Ensure cybersecurity and data protection across all systems, implementing secure access controls, encryption, and compliance with GDPR, the Kenyan Data Protection Act, and other privacy standards.
  • Ensure overall scalability, reliability, and performance across front-end and backend systems.
  • Contribute to technical planning and long-term product architecture, establishing best practices and engineering culture.
  • Provide technical support to early clients and assist with platform adoption and issue resolution.
  • PS : This role is highly hands-on, suited to someone who enjoys building from zero, thrives in startup environments, and wants to grow into a CTO or Head of Engineering position as the company evolves.

Core Requirements

  • 5–8+ years of full-stack development experience
  • Strong in React / JSX / TypeScript / CSS / TSX.
  • Solid back-end experience with Node.js, Express, and SQL (Postgres / Supabase).
  • Working knowledge of Python, particularly for data and AI tasks.
  • Familiarity with AI/ML integrations (OpenAI API, LangChain, AI Agents, etc).
  • Understanding of web app architecture, APIs, and scalable SaaS design.
  • Comfortable in fast-moving, unstructured early-stage environments.

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