

Citi’s Equities Technology organization is seeking a Low‑Latency Java Data Systems Engineer to join the Equities Electronic Execution technology team. This role is focused on building and operating the data‑plane foundations of Citi’s electronic trading ecosystem.
This role focuses on the low‑latency data plane that supports execution, routing, internalization, connectivity, and market data systems, providing event transport, sequencing, fan‑out, back‑pressure, replay, and latency‑controlled data distribution.
The engineer will work on high‑throughput, low‑latency data systems that process order lifecycle events and market data events with strict correctness and performance guarantees. This is not a trader‑facing or strategy‑implementation role; it is a core data‑systems engineering role, where Java is used as a low‑level data‑plane runtime.
The role requires close collaboration with quantitative research, product, infrastructure, production support, QA, and global delivery teams, supporting platforms deployed across NAM, EMEA, and APAC.
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We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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This job opening is for an existing job vacancy.
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