WorldQuant9mo ago

Linux Systems Engineer

Uruguay·Montevideomid

EngineeringSystems EngineerReliability EngineerInfrastructure & Cloud

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Quick Summary

Overview

Key Responsibilities

Ensure the production reliability of the firm’s Linux-based platform as part of a globally distributed engineering team. Provide rapid emergency response to production infrastructure issues.

Technical Tools

kuberneteslinuxnetworkingperformance-optimization

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The role: We are looking for a Linux Systems Engineer to keep critical Linux-based research and platform infrastructure reliable, secure, and efficient. This role supports production systems across Linux servers, Kubernetes platforms, scheduler-backed compute environments, and user access services. The engineer will troubleshoot incidents, automate operational work, improve observability, and partner with cross-functional teams to deliver stable infrastructure changes.

Responsibilities

~1 min read

→Operate and support Linux servers and shared infrastructure used by research and platform teams.
→Troubleshoot production issues involving system performance, availability, access, configuration, and networking.
→Support Kubernetes and other container-based platforms, including node health, service behavior, and rollout activities.
→Support scheduler-backed compute environments such as Slurm, including node readiness, maintenance, and incident recovery.
→Improve user-facing Linux access services such as SSH, shared shell environments, and session-based platforms.
→Manage OS lifecycle work: provisioning, patching, kernel and package updates, and hardening.
→Build scripts and automation in Python, Bash, or similar tools to reduce manual work and improve reliability.
→Use configuration management and version-controlled workflows to implement infrastructure changes safely.
→Enhance monitoring, alerting, documentation, and operational processes.
→Participate in incident response and occasional on-call support.

Requirements

~1 min read

3+ years of experience in Linux systems engineering, SRE, DevOps, or infrastructure support.
Strong Linux administration skills, including systemd, package management, permissions, filesystems, log analysis, and performance troubleshooting.
Good understanding of networking fundamentals such as DNS, NTP/PTP, routing, and general host connectivity.
Experience with automation, scripting, and operational tooling.
Familiarity with Kubernetes, virtualization, or clustered platforms.
Experience with configuration management or infrastructure-as-code tools such as Ansible, Salt, or Terraform.
Ability to troubleshoot production issues methodically and communicate clearly during incidents.
Experience with Git-based workflows and maintainable documentation.

Experience with Slurm, HPC-style environments, GPU infrastructure, or researcher-facing Linux platforms.
Working familiarity with shared storage clients such as NFS, autofs, or GPFS / IBM Storage Scale from a host and application perspective.
Experience with observability tools such as Prometheus, Grafana, or equivalent platforms.
Exposure to identity and access services such as LDAP, Kerberos, SSSD, or PAM.
Exposure to on-premises datacenter operations, hardware lifecycle support, or vendor escalations.
Interest in using AI/ML techniques for infrastructure optimization, anomaly detection, or predictive operations

Hands-on, practical problem solver with a strong ownership mindset.
Comfortable working close to production and balancing support with continuous improvement.
Collaborative communicator who works well across compute, storage, networking, and application teams.