Infrastructure Engineer

About the role

About Us:

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for an Infrastructure Engineer to join our team.

We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

Position Highlights:

We are looking for an Infrastructure Engineer who has experience designing, building, and deploying scalable infrastructure for research and production trading. As we are rapidly growing, this role will have a major impact on the future of our software systems. Less manual, more automation!

Responsibilities:

- Design, build, and support low-latency trading infrastructure

- Troubleshoot complex issues across the OS, storage, networking, and HPC clusters, working closely with other teams

- Automate server provisioning and configuration management

- Maintain and scale data storage systems

- Identify manual or repetitive workflows and design automation to improve reliability and user experience

- Deploy and support containerized applications

- Administer observability and source control platforms

- Evaluate emerging hardware and software relevant to trading, HPC, and storage, and propose improvements

- Coordinate with remote data center technicians on hardware installs and repairs

- Maintain clear documentation and a structured knowledge base

Requirements:

- 1+ years of experience in Linux systems engineering or administration

- Solid understanding of Linux internals

- Strong understanding of computer system architecture

- Good grasp of networking fundamentals

- Strong scripting skills in Python and/or Bash

- Experience with configuration management and Infrastructure-as-Code tools such as Ansible

- Experience with containers (Docker, Podman; Kubernetes is a plus)

- AI & Productivity Tools: Demonstrated ability to effectively leverage modern AI tools (e.g., generative AI, code assistants, research and productivity tools) to improve quality, speed, decision-making, and workflow efficiency while maintaining strong judgment, accuracy, and ownership of outcomes

Nice to have:

- Hands-on experience with observability tools

- Experience with low latency L1/1.5 network devices

- Experience with Solarflare or Mellanox network cards

- Experience with Kubernetes (bare-metal and cloud environments)