About the company
Founded by the creators of Fortmatic, Magic is a Web3 infrastructure company that empowers developers to create seamless and secure user onboarding experiences, abstracting away the complexities of blockchain technology. We are backed by top investors such as Tiger Global, Lightspeed Ventures, SV Angel, Social Capital, Northzone, Placeholder, Naval Ravikant, Alexis Ohanian, and Balaji Srinivasan. To date, Magic has enabled more than 91,000 developers and enterprises to onboard over 10 million users to the Web3 ecosystem — and we continue to grow rapidly. We are trusted by leading NFT marketplaces such as Immutable, Niftys, OpenSea, Decentraland and major enterprise Web2 companies alike.
Job Summary
You will
📍Contribute to further securing our SDLC, to include secure coding practices, CI/CD pipelines, and regression tests. 📍Lead and grow our vulnerability management program, which spans across our cloud infrastructure (AWS) and endpoint machines (macOS). 📍Collaborate with Engineering teams to harden our frontend and backend systems (Next.js, Typescript, AWS, Python) 📍Foster your extensive experience securing a cloud microservices platform like Kubernetes, including ingress/egress, and container communication. 📍Manage our external bug bounty program and be able to technically contribute to mitigations. 📍Support compliance standards like NIST, ISO 27001, SOC 2 Type 2, and GDPR. 📍Build a security mindset across the organization by providing security guidance and best practices. 📍Take a holistic approach towards security, ensuring coverage from code quality up and out to our edge services including Cloudflare and Vercel. 📍Participate in 24/7 on-call and security incidents, acting as Incident Manager.
You have
📍6+ years of security engineering or software security experience in either frontend or backend environments. 📍Experience with programming and scripting languages such as Python, Golang, or TypeScript. 📍Excellent Incident Management skills to navigate and lead incidents adeptly to ensure platform uptime.




