Chapter Lead - AI Native Engineering

. 10+ years of software engineering experience, with at least 4 years in a principal, staff, or architect role.

. Deephands-on expertise in at least one primary language ecosystem

o Java / Kotlin (SpringBoot, Project Loom, GraalVM)

o Python (asyncio, Cython, NumPy/Pandas for quant workflows)

o C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable)

. Proven background in Capital Markets IT: trading systems, risk engines, order routing, or post-trade processing.

. Experienced designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.

. Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.

. Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.

. Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.