Low-Latency Linux DevOps Engineer for Trading

Zapier Inc.; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Quantiq, a high-frequency derivatives trading firm, seeks a DevOps Engineer in Austin (in-office) to join a small, technically driven team responsible for deploying pipelines, automating processes, and optimizing Fedora-based infrastructure used in live trading.

The role requires deep Linux expertise, scripting in Python and Bash, and hands-on work with hardware like FPGAs and high-speed networking to minimize latency.

Qualifications

• 5+ years in a DevOps, Systems Engineering, or related role
• Proven ability to build, optimize, and scale Linux-based infrastructure
• Strong scripting and automation skills (Python, Bash, C++)
• Excellent written and verbal communication
• Ability to respond to occasional off-hour emergencies
• Knowledge of network architecture and performance tuning
• Experience with networking tools (ping, ifconfig, telnet, wireshark, nmcli)

Responsibilities

• Analyze current systems, identify gaps, and lead improvements for performance and scalability
• Fine-tune Linux kernel and user-space to minimize latency
• Design and manage real-time networking configurations for low-latency trading
• Implement automation solutions using scripting languages
• Work with hardware (FPGAs, high-speed switches) to optimize latency
• Develop and document backup procedures and failover strategies
• Respond to operational issues and requests from teams

Skills

Linux systems

Scripting (Python, Bash)

C++

Networking (low-latency)

Troubleshooting

Communication

Latency optimization

Tools

FreeIPA

OpenLDAP

OpenVPN

DNS

ZFS

Gitea

Zulip

GRUB

PXE

wireshark

nmcli

ping

ifconfig

telnet

Job description

Quantiq, a high-frequency derivatives trading firm, seeks a DevOps Engineer in Austin (in-office) to join a small, technically driven team responsible for deploying pipelines, automating processes, and optimizing Fedora-based infrastructure used in live trading.

The role requires deep Linux expertise, scripting in Python and Bash, and hands-on work with hardware like FPGAs and high-speed networking to minimize latency.