🌐 About Zaïffer

Zaïffer is a protocol enabling confidential, compliant, and composable finance across all EVM-compatible chains. Powered by Fully Homomorphic Encryption (FHE) from Zama, Zaïffer introduces confidential tokens (cTokens) that hide transaction amounts while preserving auditability and enabling selective disclosure.

Think of Zaïffer as the VPN for on-chain finance giving individuals and businesses the ability to transact privately, securely, and compliantly without leaving the DeFi ecosystem.

We are backed by PyratzLabs (venture builder) and Zama (leading FHE company), and we’re assembling our core tech team to bring confidential DeFi to the world.

🚀 Role: Lead Back-End Developer (Python/Django)

🎯 Mission

As Lead Back-End Developer, you’ll architect, build, and scale the confidential back-end infrastructure that powers Zaïffer’s DeFi protocol. You’ll be at the heart of protocol development, leading API design, performance, and integrations with DeFi systems.

🛠️ Responsibilities

• Lead design and development of core protocol back-end services (Python, typed-Django, REST, GraphQL, Swagger generation, websockets, async jobs, queuing).
• Architect APIs for confidential transactions, swaps, and integrations with DeFi protocols.
• Ensure code quality, reliability, and scalability through Test-Driven Development (TDD) and robust CI/CD pipelines.
• Collaborate with cryptography (FHE/ZK) engineers to integrate advanced privacy features.
• Develop and deploy new features, ensure system maintenance, and continuously improve services
• Contribute to requirement analysis with cross-functional teams, provide estimations, and actively participate in daily meetings.
• Own technical documentation and contribute to industry standards (Confidential Token Standard).
• Mentor, recruit, and support junior developers, setting best practices in architecture and delivery.

🧑‍💻 Requirements

• 6+ years of back-end development experience (Python/Django preferred, or strong equivalent: Rails, Nest, Laravel).
• Strong skills in SQL, Docker, APIs (REST/GraphQL).
• Solid understanding of caching (Redis/Memcached), system scalability, and cloud deployments (AWS/Kubernetes).