Identify gaps in our Crypto-Security infrastructure and drive cross-function efforts to address them
Perform security assessments, framework development, and threat modeling of assets, including various blockchain protocols, smart contracts, and other distributed ledger tech
Partner with software engineering teams to advise on code and architecture for internal smart contract development
Partner with internal tooling teams to drive the roadmap and vision for internal Coinbase blockchain security tools
Identify automation opportunities in our tooling and processes, deliver a Proof of Concept, and write detail technical requirements
Investigate impactful changes to the space, blockchain upgrades, and novel innovations such as zero-knowledge proofs and bleeding-edge blockchain protocols
Publish blogs and give talks (internal and external) on newfound vulnerabilities, incident investigations, unique integration risks, and related topics
Requirements
Strong understanding of blockchains (particularly EVM chains) and highly “crypto forward”
4+ years of experience in security engineering, with significant focus on blockchain, distributed systems, or cryptographic infrastructure security
Extensive experience in architecture and threat modeling of security-critical backend crypto systems
Expertise in Application Security and cryptography, including applied knowledge of cryptographic primitives used in blockchain protocols (signing schemes, hash functions, zero-knowledge proofs, MPC)
Familiar with all the fundamentals of onchain activity – blockchain explorers, funds tracing, bridging, DEXs, NFTs, smart contracts
Familiar with recent innovations such as restaking and the various EIPs currently being considered
Ability to provide leadership and mentorship to coworkers
Experience in a highly cross-functional role and/or leading a team
Excellence in clear, direct, and kind communication with technical and non-technical stakeholders, including the ability to translate complex security risks into actionable guidance for leadership
Experience with using AI/agentic tooling (Claude Code, Cursor, GPT Codex, etc.)
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.