Protocol Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Protocol Engineer (Solidity/Web3): Developing and optimizing lending primitives, liquidation strategies, and oracle integrations for a leading DeFi protocol with an accent on security and system design. Focus on Solidity implementation, formal verification, and adversarial thinking to ensure protocol robustness.
Location: Paris or Remote (Europe only, from GMT to GMT+2)
Company
is a leading Decentralized Finance (DeFi) lending protocol building an open lending network to provide global access to the best possible capital terms.
What you will do
- Research and design new lending mechanisms, liquidation strategies, and oracle integrations.
- Write and review production Solidity code for smart contracts securing significant TVL, prioritizing gas efficiency and correctness.
- Lead medium-to-large protocol initiatives end-to-end from research and design to deployment.
- Analyze protocol design adversarially to identify attack vectors, edge cases, and failure modes.
- Prototype protocol ideas using formal analysis, simulation, or verification.
- Collaborate cross-functionally on architecture decisions to maintain a coherent and minimal protocol stack.
Requirements
- Master's degree in a quantitative field (Math, Computer Science, Physics, Statistics, Economics) or equivalent knowledge.
- 5+ years of experience in software architectural design and implementation of complex systems.
- 2+ years of experience in blockchain R&D with a track record in protocol design and implementation.
- Strong abstraction capacity and ability to distill complex mechanisms to their essentials.
- Excellent written and verbal communication skills for technical research discussions.
- Must be based in Europe (GMT to GMT+2) to ensure team overlap.
Culture & Benefits
- Top-tier compensation and comprehensive health coverage.
- Real flexibility with the option for remote work in Europe and periodic team gatherings in Paris.
- Culture of deep work, high support, and low ego, where decisions are justified through technical rigor.
- Support for continuous learning and professional growth.
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