Job Description
. 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.
. 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.