Trading Systems Infrastructure Staff Engineer

Responsibilities

• Low-Latency Architecture: Design, provision, and maintain ultra-low latency AWS and hybrid network topologies, including VPCs, exchange gateways, and regional deployment expansions.
• Performance Tuning: Optimize Linux OS kernels and compute performance using CPU isolation (isolcpus), AWS Cluster Placement Groups, and enhanced networking (ENA/ENI).
• Infrastructure as Code: Drive infrastructure automation, provisioning, and configuration management using Terraform and Ansible.
• Platform Scaling: Architect infrastructure to support expanding Exchange Market Making (EMM), Project Market Making (PMM), and TradFi exchange convergences.
• Observability & Reliability: Build telemetry and monitoring pipelines using Grafana Cloud and Alloy to ensure continuous visibility into platform performance.
• Technical Leadership: Guide the technical roadmap, mentor junior engineers, and act as an escalation lead for critical system incidents.

Key Qualifications

• 5+ years of experience in Infrastructure Engineering, Systems Engineering, or SRE, with a focus on low-latency electronic trading environments.
• Deep Linux Internals Expertise: Advanced experience with kernel-level performance tuning, memory management, and network I/O optimization (isolcpus, network profiling, ring buffers).
• AWS Low-Latency Design: Demonstrated experience leveraging AWS low-latency constructs (Placement Groups, ENA/ENI, high-performance EC2 instance optimization).
• Trading Protocols & Infrastructure: Experience with FIX protocol, Aeron messaging, or low-latency colocation connectivity.
• HFT & Market Workflows: Familiarity with high-frequency trading (HFT) workflows or crypto exchange API integrations.
• Automation Mastery: Strong proficiency in Terraform for cloud infrastructure and Ansible for OS configuration and patching.
• Networking Fundamentals: Deep understanding of physical network topologies, TCP/IP, UDP, and low-latency network routing.
• Containers & CI/CD: Hands-on experience with Docker, Docker Compose, Jenkins, and modern deployment pipelines.
• Observability Ecosystem: Experience setting up production monitoring using Grafana Cloud, Alloy, or Prometheus.

Bonus Points

• Hands-on scripting capability in Python/Bash, with development experience in Rust or Java preferred.
• Experience with hardware acceleration technologies (FPGAs, SmartNICs) or custom network card driver tuning.
• Knowledge of PTP (Precision Time Protocol) / IEEE 1588 or clock synchronization setup for high-precision trade timestamping.

The base pay for this role is expected to be between $213,000 - $269,000 in New York City. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.