• Conduct end-to-end security assessments across blockchain protocols, smart contracts, cryptographic systems, and infrastructure. • Identify real-world vulnerabilities through manual review, adversarial testing, and proof-of-concept exploit development. • Design and execute security testing strategies for protocol components, cross-chain bridges, and distributed systems. • Lead threat modeling exercises and security architecture reviews. • Define and enforce security gates throughout the software development lifecycle. • Collaborate closely with engineering teams to prioritize and remediate security risks. • Build and improve security tooling, fuzzing frameworks, and CI/CD security automation. • Research emerging Web3 attack vectors and proactively mitigate potential threats.

Role Description ThisWay Global is looking for a Distributed Systems Engineer in a remote role within the United States. This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability. - Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity. - Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns. - Write maintainable, resilient, and tested code following development standards and methodologies. - Debug and improve system behavior, including networking and distributed coordination issues. - Contribute to systems written primarily in Rust. - Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability. - Optimize performance and memory usage in resource-constrained environments. - Debug concurrency issues and distributed coordination challenges. - Design and maintain APIs and communication layers between distributed components. - Identify and reduce tight coupling across services and systems. - Diagnose and resolve cross-system failures in production environments. - Design and implement secure, reliable solutions aligned with engineering standards. - Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems. - Contribute to resolving architectural and systemic issues. - Continue developing expertise in distributed systems, HPC infrastructure, and related tooling. Qualifications - Experience building distributed systems in environments with low bandwidth, high latency, or unreliable communication links. - Production experience developing systems in Rust or Go. - Understanding of distributed systems failure modes and mitigation strategies. - Knowledge of consistency models, coordination strategies, and state replication. - Experience designing APIs and communication layers between distributed components. - Experience working within established architectures and delivering production-quality components. - Understanding of systems-level concepts including durability, reliability, and operational behavior. - Ability to work independently while collaborating with technical leadership. Preferred Qualifications - Experience with HPC environments, exascale computing, or AI/ML infrastructure. - Exposure to operating systems internals, compiler design, or language runtimes. - Experience with edge computing or constrained network environments. - Familiarity with message queues, event-driven systems, or streaming architectures. - Exposure to consensus algorithms or distributed coordination primitives. - Experience with concurrency, memory management, or performance optimization in production systems. - Experience contributing to developer tooling, internal platforms, or infrastructure-layer components. Benefits - Remote work within the United States. - Opportunity to work on distributed systems supporting AI and exascale workloads. - Collaboration with engineers experienced in operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems. - Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.

• Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity. • Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns. • Write maintainable, resilient, and tested code following development standards and methodologies. • Debug and improve system behavior, including networking and distributed coordination issues. • Contribute to systems written primarily in Rust. • Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability. • Optimize performance and memory usage in resource-constrained environments. • Debug concurrency issues and distributed coordination challenges. • Design and maintain APIs and communication layers between distributed components. • Identify and reduce tight coupling across services and systems. • Diagnose and resolve cross-system failures in production environments. • Design and implement secure, reliable solutions aligned with engineering standards. • Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems. • Contribute to resolving architectural and systemic issues. • Continue developing expertise in distributed systems, HPC infrastructure, and related tooling.

• Lead, mentor, and grow a team of blockchain security engineers. • Define and evolve the blockchain security strategy and roadmap. • Serve as a trusted security partner to product, protocol, and infrastructure teams. • Lead threat modeling and architecture reviews for on-chain systems. • Perform and guide security reviews and audits of smart contracts (Solidity, Rust/Solana) and backend services and supporting infrastructure. • Design and implement reusable security controls, patterns, and reference architectures. • Support secure deployment of cloud-native infrastructure (containers, Kubernetes). • Research emerging blockchain threats, exploits, and mitigations, and translate them into actionable controls. • Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. • Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.