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.