Role Summary
The Vice President of Engineering will lead the technical organization behind Genius — an advanced on-chain execution and liquidity platform operating across Solana and EVM ecosystems. The role demands deep expertise in distributed systems, deterministic execution, and large-scale application architecture. The VP will own technical strategy, architecture, and delivery across all Genius systems, ensuring the platform operates with precision, security, and scalability as user volumes grow into the tens of thousands.
Core Responsibilities
Define and own the end-to-end engineering strategy across execution engines, market systems, and orchestration layers.
Architect and optimize on-chain execution frameworks for Solana and EVM chains, ensuring deterministic performance, atomic state changes, and high throughput.
Lead the design and scaling of ultra-low-latency order routing, real-time data indexing, and smart contract pipelines.
Build and scale infrastructure to support thousands of concurrent active users with consistent performance and zero degradation under load.
Establish and enforce technical standards, QA rigor, and automated CI/CD pipelines for multi-chain deployments.
Hire, develop, and retain a high-caliber engineering team across protocol, backend, and front-end functions.
Implement performance observability, fault tolerance, and comprehensive security frameworks.
Partner with executive leadership to translate business and product goals into clear engineering roadmaps and measurable outcomes.
Drive a culture of deterministic execution, high-velocity shipping, and deep technical accountability.
Qualifications
10+ years in software engineering, with 5+ years in senior leadership roles.
Demonstrated experience scaling complex applications to thousands of daily active users while maintaining sub-second execution performance.
Proven track record of building on-chain applications on Solana and/or EVM environments.
Strong background in distributed, low-latency, and high-throughput system design.
Proficiency in Rust, TypeScript, and modern architectural patterns for performance-critical systems.
Deep understanding of transaction life cycles, program orchestration, and deterministic system design.
Strong leadership in building, mentoring, and aligning multidisciplinary engineering teams under high-execution conditions.
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