London, United Kingdom Yesterday Not disclosed
Linux Financial Technology Engineering Jobs
Financial technology engineers build the infrastructure that powers trading, payments, banking, and financial data. Linux is the platform of choice for all high-performance financial systems: low-latency trading infrastructure, payment processors, real-time risk engines, and regulatory compliance systems. Fintech Linux roles demand performance engineering rigour, regulatory awareness, and deep Linux systems knowledge.
AS
Shanghai, China 6d ago Not disclosed
Warsaw, Poland May 27 Not disclosed
Singapore, Singapore May 27 Not disclosed
IL
New York or Remote, United States May 22 Not disclosed
Yonkers, New York, United States May 22 $94k – $100k
New York City, New York, United States May 21 $165k – $180k
London, United Kingdom May 21 Not disclosed
London, United Kingdom May 21 Not disclosed
London, United Kingdom May 21 Not disclosed
London, United Kingdom May 21 Not disclosed
London, United Kingdom May 21 Not disclosed
London, United Kingdom May 21 Not disclosed
Hong Kong, Hong Kong SAR, China May 21 Not disclosed
Mexico City, Mexico May 21 Not disclosed
New York City, New York, United States May 21 $150k – $250k
London, United Kingdom May 21 £150k – £200k
Remote, United Kingdom May 21 Not disclosed
London, United Kingdom May 21 Not disclosed
New York City, New York, United States May 21 $110k – $160k
Frequently Asked Questions
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Fintech Linux engineers build and operate trading systems, payment processing infrastructure, real-time risk engines, market data feeds, and compliance systems. High-frequency trading (HFT) roles demand microsecond-latency Linux kernel tuning. Payment infrastructure roles require high-reliability, PCI-DSS-compliant systems on Linux.
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In algorithmic trading, nanoseconds matter. Slower systems lose to faster competitors. Low-latency Linux engineering involves kernel bypass networking (DPDK, RDMA), CPU pinning and NUMA optimisation, minimising OS jitter, real-time kernel patches (PREEMPT_RT), and custom memory allocators. These techniques require deep Linux kernel knowledge.
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C++ for low-latency systems, Linux systems programming, network programming (DPDK, kernel bypass, kernel networking stack), FIX protocol, market data infrastructure, and understanding of financial risk concepts. Python is used extensively for quantitative analysis and automation. Security and compliance knowledge (PCI-DSS, SOX) is expected in regulated roles.
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Fintech Linux engineers are among the highest-compensated engineers globally. Low-latency trading systems engineers at HFT firms (Jane Street, Citadel, Two Sigma, Jump Trading) in the US earn $200,000–$500,000+ total compensation. Payment and banking infrastructure engineers earn $140,000–$220,000. The financial sector pays a significant premium for systems depth.