Machine intelligence will soon take over humanityâs role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - Secure Gensynâs decentralized systems, tooling, protocols and services Responsibilities - Own and develop security posture, tools, and strategy for application-level systems: web apps, APIs, and Smart Contracts - Perform threat modeling, architecture reviews and design reviews for new features, services and protocols - Monitor and respond to application-level security incidents - Stay abreast of emerging threats relevant to our stack and proactively apply mitigations - Educate teams across the company on security best practices Competencies Must Have - Deep hands-on application security experience in production Web3 environments - Experience securing and monitoring crypto keys and safes - Experience performing threat modeling, architecture risk assessments and application vulnerability management - Deep understanding of web application and blockchain security - Familiarity with cloud-native infrastructure/applications and ability to secure them end-to-end - Strong ability to review and write secure code - Excellent written and verbal communication - Comfortable operating in a high-autonomy, high-velocity team Preferred - Familiarity with machine-learning infrastructure or diPlease mention the word **EXCELLENCE** and tag RMjAzLjExMC4yNDIuMzQ= when applying to show you read the job post completely (#RMjAzLjExMC4yNDIuMzQ=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.