Proven CTO or senior tech leadership in a high-growth company (ideally $500M+ valuation), scaling transaction volumes from thousands to tens of thousands per hour.
Hands-on experience with trading platforms (preferably futures), strongly preferred, including risk management, order execution, and real-time data systems.
Deep expertise in building high-performance, scalable architectures focused on high frequency transactions, high availability, and low latency.
Knowledge of C# (C Sharp)—our platform’s core language.
Advanced knowledge of code architecture for high-transaction systems and API integrations.
Experience with cloud architectures (e.g., AWS, GCP, Azure) and containerization (e.g., Kubernetes).
Skilled in API design, third-party orchestration, and resolving integration bottlenecks.
Track record of recruiting and leading technical teams (engineers, DevOps, etc.), with flexibility to build globally or in the US.
Responsibilities:
Define and execute the technical strategy to scale the global near real-time trading platform, ensuring high availability and low latency.
Recruit, expand and lead an in-house digital, AI and technology team (engineers, DevOps, QA, etc.), choosing the structure and location (US or global) to support scaling.
Partner with the leadership team to integrate, modernize and further enhance the security of our platform and tech landscape..
Design a scalable, cloud-based architecture using AWS, GCP, or Azure.
Implement event-driven architecture with Kafka, AWS or other tools for real-time processing.
Optimize microservices architecture, ensuring modularity, security, and performance.
Define and enforce API design best practices for high-performance integrations.
Implement high-availability and fault-tolerant solutions with multi-region cloud deployments.
Leverage containerization (Docker, Kubernetes, etc) to enhance system orchestration and resilience.
Drive serverless computing adoption for event-driven processing.
Optimize distributed caching strategies
Enforce real-time data processing
Stress-test the platform, establish SLAs, and implement monitoring for low-latency, high-throughput operations.
Articulate the technical strategy to stakeholders, supporting valuation and partnership goals.