Job description

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: 1–5 years of experience in Linux systems engineering or administration Solid understanding of Linux internals: process scheduling, virtual memory, filesystems, and the networking stack Strong understanding of computer system architecture Good grasp of networking fundamentals (TCP/IP, routing, VLANs, troubleshooting tools) Strong scripting skills in Python and/or Bash Experience with configuration management and Infrastructure-as-Code tools such as Ansible Hands-on experience with observability tools (metrics, logging, alerting) Experience with containers (Docker, Podman; Kubernetes is a plus) Clear communication skills and the ability to work across teams Nice to have: Experience with low latency L1/1.5 network devices Experience with Solarflare or Mellanox network cards Experience with Kubernetes (bare-metal and cloud environments) Experience with Big-Data Processing and Analysis Pipelines such as Jenkins or similar Experience Working in a Trading Firm is a significant plus Genuine Interest in Finance and Trading Additional expectations: Passion for Continuous Learning Strong Sense of Responsibility Ability to Make Independent and Timely Decisions Skill in Finding Innovative Solutions Service-Oriented Mindset Benefits: Competitive compensation package Performance-based bonus opportunities 401k plan Mental health support, including access to therapy Paid time off (4 weeks) Relocation support (where applicable) International team meet-ups Learning and development support, including courses and certifications Access to professional tools, software, and resources Fully equipped workstations with high-quality hardware Modern office with paid lunches Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

Requirements

Must-haves

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
1–5 years of experience in Linux systems engineering or administration
Solid understanding of Linux internals: process scheduling, virtual memory, filesystems, and the networking stack
Strong understanding of computer system architecture
Good grasp of networking fundamentals (TCP/IP, routing, VLANs, troubleshooting tools)
Strong scripting skills in Python and/or Bash
Experience with configuration management and Infrastructure-as-Code tools such as Ansible
Hands-on experience with observability tools (metrics, logging, alerting)

Nice-to-haves

Experience with containers (Docker, Podman; Kubernetes is a plus)
Experience with low latency L1/1.5 network devices
Experience with Solarflare or Mellanox network cards
Experience with Kubernetes (bare-metal and cloud environments)
Experience with Big-Data Processing and Analysis Pipelines such as Jenkins or similar
Experience Working in a Trading Firm is a significant plus
Genuine Interest in Finance and Trading

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythondockerkubernetes

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision

401k

Paid Time Off