• Own the architecture of one or more critical backend platform domains, with responsibility for design integrity, evolution, and technical debt management over time. • Act as the architectural steward, ensuring systems remain coherent, extensible, secure, and maintainable as product and customer demands evolve. • Define architectural boundaries, extension points, and contracts that enable independent evolution of platform components. • Lead the planning and execution of architecture- and code changes that improve scalability, extensibility, reliability, and developer productivity. • Ensure maintenance of the no-code principal in all platform extensions that are under your stewardship. • Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term platform sustainability. • Drive cross-team alignment on architectural direction, standards, and trade-offs, influencing without direct authority. • Champion a forward-leaning adoption of AI-assisted software engineering, shaping how AI tools are used across design, implementation, testing, refactoring, and maintenance. • Design platform components and extension frameworks that are AI-friendly by design, enabling automated reasoning, safer modifications, and faster iteration. • Collaborate with senior engineers and with engineering leadership to define best practices and guardrails for responsible, secure, and effective use of AI tools within the SDLC. • Continuously evaluate emerging AI capabilities and integrate those that provide material improvements in engineering leverage and system quality. • Set and uphold high standards for code quality, testing, observability, security, and operational excellence. • Drive improvements to internal developer experience, including tooling, CI/CD pipelines, documentation, and architectural guidance. • Ensure that architectural decisions are well-documented, discoverable, and actionable for engineering teams. • Mentor senior and mid-level engineers, raising the overall bar for architectural thinking and system design. • Serve as a technical multiplier—unblocking teams, accelerating decision-making, and reducing long-term complexity. • Communicate complex technical and architectural concepts clearly to both technical and non-technical stakeholders. • Stay ahead of industry trends in platform engineering, AI-enabled development, and cloud-native architectures, and drive pragmatic adoption where it delivers clear business value.

• Design, build, test, deploy, and maintain scalable, reliable platform services and shared libraries. • Contribute to platform and system architecture decisions with a focus on reliability, scalability, and developer experience. • Write high-quality, maintainable code and set a strong example of engineering best practices. • Collaborate with Staff Engineers and peers to implement standards and patterns that support Continuous Delivery. • Identify and address performance, scalability, and reliability issues across platform services. • Participate actively in design reviews, code reviews, and technical discussions, providing thoughtful and constructive feedback. • Drive operational excellence by improving monitoring, alerting, and incident response practices. • Investigate root causes of production issues and implement long-term fixes to reduce on-call burden. • Mentor and support junior and mid-level engineers through code reviews, pairing, and technical guidance. • Partner with cross-functional teams to understand requirements and deliver solutions that create measurable business and customer value.

• Define and evolve company-wide technology architecture, technology stack, SDLC standards, and key architectural patterns • Oversee and govern major architectural decisions across multiple product teams • Own performance, capacity, and observability strategy across the organization, driving unified approaches and tooling • Lead the Core Platform team responsible for shared services, infrastructure, and developer tooling • Drive adoption of AI in the SDLC, including tools, workflows, and effectiveness measurement • Provide architectural guidance and hands-on technical leadership to selected product streams • Ensure architectural alignment with business objectives and domain-specific requirements

• Design, implement, and optimize all layers of the Hyperliquid protocol stack. • This includes consensus, execution (HyperCore and HyperEVM), and API/RPC servers. • Design and implement financial and trading primitives on the Hyperliquid L1