Ultra-Low Latency Network Engineer – HFT FX (New York Colocation) – Contract
Role Summary
Wagglyn is seeking an Ultra-Low Latency Network Engineer (Contract) to design and optimise the network infrastructure underpinning a high-frequency FX trading stack.
This is a hands-on role focused on NY4/NY5 colocation, exchange connectivity, and microsecond-level latency optimisation as we move into live trading.
Immediate start strongly preferred. Initial 2-month fixed-term contract.
Responsibilities
· Design and deploy ultra-low latency network architecture in NY4/NY5
· Build and optimise connectivity to ECNs (Cboe FX, EBS, LMAX, etc.) and prime brokers
· Minimise latency across the trading path (market data → execution)
· Own latency, jitter, and packet-level performance analysis
· Deploy and tune infrastructure (Arista 7130/7150, Solarflare/Xilinx NICs, Linux stack)
· Manage cross-connects and vendor coordination (colo, carriers, venues)
· Implement latency telemetry (tick-to-trade, wire latency)
· Support production readiness (resilience, failover, live troubleshooting)
Required Experience
· Ultra-low latency network engineering experience in HFT / electronic trading
· Direct experience with NY4/NY5 (or equivalent trading colo)
· Strong L1/L2 networking and multicast market data knowledge
· Hands-on with Arista (or equivalent low latency switching)
· NIC / kernel-level optimisation (Solarflare, IRQ pinning, Linux tuning)
· Proven ability to reduce latency, jitter, and improve determinism
Preferred
· FX market experience (Cboe FX, EBS, LMAX)
· Kernel bypass (DPDK, OpenOnload), FPGA exposure
What Success Looks Like (0–3 months)
· Production-ready NY colo network live
· Stable connectivity to trading venues
· Measurable reduction in latency and jitter
· Clear end-to-end latency visibility
Contract Structure
· Full-time contractor (rolling)
· Immediate start preferred
· New York (colo presence required)
About Wagglyn
Wagglyn is a bespoke FX consultancy mandated by a single family office to develop and implement a systematic total return strategy in foreign exchange markets.
We are building an institutional-grade algorithmic FX trading capability, combining quantitative research, high-performance engineering, and robust execution infrastructure.
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