IT - Lead Infrastructure Engineer (Trading Infrastructure)

FortisHill Consulting; Hong Kong; On-site; HKD 2,000,000 - 4,000,000; Full time

Job summary

FortisHill Consulting seeks an experienced Infrastructure Engineering Lead to design and lead infrastructure for performance-sensitive trading and scalable quantitative research workloads. You will work with traders, researchers, and engineers to build reliable, low-latency systems.

This senior role covers data centre, cloud, networking, storage, GPU computing, and automation, driving latency reduction and high availability across production environments.

Qualifications

• Bachelor's degree in CS, Engineering, or related STEM field.
• 15+ years in data centre, infrastructure, cloud, or platform engineering.
• 3+ years in a technical leadership/management role.

Responsibilities

• Architect and implement infrastructure across servers, storage, networking, and GPU computing.
• Lead latency-sensitive and high-performance engineering for trading workloads.
• Design scalable, reliable infrastructure for production environments.
• Develop automation and IaC using Ansible, Terraform, Puppet, and Chef.

Skills

Low-latency networking

HPC infrastructure

IaC leadership

Cloud & on-premise

Performance optimization

Team leadership

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Ansible

Terraform

Puppet

Chef

Docker

Kubernetes

Pure Storage

Ceph

GPFS

VAST Data

High-performance NICs

Job description

Our client is a quantitative investment management firm operating across global financial markets, with a strong focus on technology-driven investment strategies. The firm is seeking an experienced Infrastructure Engineering Lead to design and lead the infrastructure supporting both performance-sensitive trading environments and highly scalable quantitative research workloads.

This is a senior hands-on leadership role covering data centre, cloud, networking, storage, GPU computing, low-latency optimisation, and infrastructure automation. The successful candidate will work closely with traders, quantitative researchers, and software engineers to build highly reliable and performance-optimised infrastructure.

Key Responsibilities

Infrastructure Architecture & Engineering

• Architect and implement robust infrastructure solutions across servers, storage, networking, and GPU computing environments.
• Design infrastructure solutions supporting both:
• Large-scale quantitative research and computing workloads
• Drive infrastructure scalability, reliability, availability, and performance across production environments.
• Evaluate and introduce new infrastructure technologies to support evolving trading and research requirements.

Low-Latency & Performance Engineering

• Lead initiatives to optimise infrastructure performance for latency-sensitive trading workloads.
• Design and optimise networking, CPU, memory, storage, and operating system configurations to minimise latency and maximise system performance.
• Work with technologies and techniques including:
• CPU pinning
• BIOS tuning
• High-performance NIC optimisation
• FPGA integration
• Monitor and analyse infrastructure latency and identify performance bottlenecks across complex trading environments.

Network & Market Infrastructure

• Design and manage high-performance network infrastructure supporting trading and market data environments.
• Work with multicast data distribution, Solarflare / Mellanox NICs, PTP time synchronisation, and high-performance network architectures.
• Support exchange connectivity, proximity hosting, and colocation environments.
• Work with market data feeds and trading protocols such as FIX.
• Ensure network infrastructure meets the reliability and latency requirements of electronic trading systems.

Monitoring, Observability & Performance Management

• Implement infrastructure monitoring and observability solutions to provide a comprehensive view of trading and research environments.
• Establish mechanisms for latency monitoring, anomaly detection, performance analysis, and rapid troubleshooting.
• Build a reliable source of truth across complex infrastructure environments using tools such as Corvil or equivalent network / performance monitoring platforms.
• Enhance monitoring, alerting, and operational visibility using platforms such as Prometheus, Grafana, ELK, and Splunk.
• Lead infrastructure solutions across AWS and on-premises data centre environments.
• Design and manage enterprise storage solutions including Pure Storage, Ceph, GPFS, and VAST Data.
• Oversee virtualisation and compute infrastructure to support both trading and research workloads.
• Evaluate infrastructure architecture based on performance, scalability, reliability, and cost considerations.
• Lead major infrastructure initiatives including data centre migrations, domain decoupling, infrastructure consolidation, and performance optimisation.
• Develop migration strategies and execution plans while minimising disruption to critical trading and research services.
• Coordinate infrastructure changes across internal engineering teams, vendors, and technology partners.
• Drive Infrastructure-as-Code and automation initiatives to improve consistency, scalability, and operational efficiency.
• Develop and maintain automation using tools such as Ansible, Terraform, Puppet, and Chef.
• Support containerised infrastructure using Docker and Kubernetes where appropriate.
• Establish repeatable infrastructure provisioning, configuration management, and deployment processes.

Team Leadership & Stakeholder Management

• Build, lead, and develop a high-performing infrastructure engineering team.
• Mentor engineers and establish strong engineering standards and best practices.
• Work closely with traders, quantitative researchers, developers, and technology leadership to translate business and technical requirements into infrastructure solutions.
• Manage priorities across trading, research, and infrastructure initiatives.
• Communicate complex technical issues and recommendations clearly to technical and non-technical stakeholders.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related STEM discipline.
• Minimum 15 years of experience in data centre, infrastructure, cloud, or platform engineering, including at least 3 years in a technical leadership / management role.
• Strong expertise across:
• Cloud platforms, particularly AWS
• High-performance computing infrastructure
• Hands-on experience with storage technologies such as Pure Storage, Ceph, GPFS, or VAST Data.
• Strong understanding of low-latency network architecture and optimisation, including multicast, high-performance NICs, and PTP time synchronisation.
• Experience with infrastructure performance optimisation, including CPU pinning, NUMA, IRQ affinity, BIOS tuning, kernel configuration, and FPGA integration.
• Strong Infrastructure-as-Code experience with Ansible, Terraform, Puppet, Chef, or equivalent tools.
• Experience with Docker / Kubernetes and modern infrastructure monitoring / observability platforms.
• Experience supporting electronic trading infrastructure, exchange connectivity, proximity hosting, or colocation environments.
• Understanding of market data feeds, FIX protocol, and low-latency trading environments.
• Strong analytical and troubleshooting skills with a performance-oriented mindset.
• Excellent communication, organisational, and stakeholder management skills.
• Proven ability to build and lead infrastructure engineering teams and mentor technical talent.