---
title: 'Linux Systems Engineer at WorldQuant'
canonical: 'https://feeny.ai/job/linux-systems-engineer-worldquant-montevideo-vfcg5wb0gac3'
type: 'job'
last_seen: '2026-09-08'
---

# Linux Systems Engineer at WorldQuant

- **Company:** WorldQuant
- **Location:** Montevideo, Uruguay
- **Posted:** 2025-11-20
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/worldquant/jobs/4618429006

## Job description

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.

Key Responsibilities:

- 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.

Required Qualifications:

- 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.

Preferred Qualifications:

- 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

Working Style:

- 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.

What We Offer:

- Competitive compensation package.
- Core benefits include: premium private health insurance.
- Strong culture of learning and development: training courses, guest speakers, share and learn events, etc.
- Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams.
- Dynamic work without routine in a leading international company.

## #LI-VP1

By submitting this application, you acknowledge and consent to terms of the [WorldQuant Privacy Policy.](https://www.worldquant.com/privacy-policy/) The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

## About WorldQuant

## Company Overview
- **One-liner**: A global quantitative asset management firm that develops and deploys systematic investment strategies across asset classes using data, technology, and a global talent network.
- **Entity Type**: Private (bootstrapped – no external funding rounds disclosed)
- **Headquarters**: Old Greenwich, Connecticut, USA (primary hub among 28 global offices)
- **Founded**: 2007
- **Founders**: Igor Tulchinsky

## Core Business
- **Primary industry/industries**: Quantitative asset management, financial services, data science, artificial intelligence
- **Target customers**: Institutional investors (B2B); also serves individual contributors through its BRAIN platform and educational initiatives
- **Mission or purpose statement**: “Leverage data, talent and prediction to tackle complex challenges beyond financial markets” (from founder’s statement)

## Products & Services
- **Systematic Investment Strategies**: Core business – proprietary algorithms for global markets across equities, fixed income, currencies, and commodities.
- **BRAIN Platform**: A web-based platform that invites external talent to build and submit predictive signals using WorldQuant’s technology; contributors can earn compensation based on signal quality.
- **Data Exchange**: Enables individuals and organizations to submit data products for evaluation and feedback by WorldQuant’s research team.
- **WorldQuant University**: Provides free, accredited online education – a Master of Science in Financial Engineering and an Applied Data Science Lab.
- **WorldQuant Ventures**: Invests in early-stage technology companies solving real-world problems with emerging technologies.

## Market Standing
- **Valuation/Assets Under Management**: Not publicly disclosed.
- **Key Metric**: >1,100 employees across 28 offices worldwide.
- **Notable Investors/Partners**: Founder Igor Tulchinsky self-funded; partnerships with organizations like AnitaB/Grace Hopper, Correlation One, She Codes, and Women 2.0 for diversity recruiting.
- **Growth Signals**: Global office expansion (28 locations); continuous hiring across research, technology, and portfolio management; launch of AI initiatives led by Co-CIO Paul Griffin; free education programs that build talent pipeline.

## Competitive Advantages
- **Proprietary technology and data infrastructure**: Decisions driven by millions of algorithms and a proprietary platform that processes vast amounts of data.
- **Multi-discipline collaboration**: Researchers, technologists, and portfolio managers work together in “multi-teaming” structures, fostering cross-functional innovation.
- **Global talent model**: Offices in over 15 countries to access diverse talent pools; emphasis on hiring where talent exists rather than centralizing.
- **Culture of transparency and experimentation**: Firm-wide sharing of ideas, regular internal conferences, and innovation sprint projects.
- **Free, accredited education programs** (WorldQuant University) that create a direct recruitment funnel and brand loyalty.

## Strategic Focus
- **Artificial Intelligence**: Co-CIO Paul Griffin leads AI initiatives, with dedicated AI scientist and deep researcher roles being actively hired.
- **Global talent expansion**: Continued hiring across all regions, especially in Asia (Vietnam, India, China) and Eastern Europe (Hungary, Armenia, Romania).
- **Platform diversification**: Growing BRAIN and Data Exchange to crowdsource signals and external data sources.
- **Innovation and diversification**: Researchers participate in dozens of simultaneous innovation projects to explore new asset classes and strategies.

## Why Work Here
- **Culture highlights**: Emphasis on “ideas matter” – knowledge shared through regular firm-wide meetings, external speakers, lecture series, and self-directed learning. Employee-run groups (Multicultural, Pride, Women of WorldQuant, Working Parents). A formal Diversity & Inclusion council meets with senior management.
- **Remote/hybrid/office policy**: Primarily office-based across 28 global locations, but with flexible working arrangements (“freedom and tools they need to deliver results and work in a way that is best for them”).
- **Notable perks**: Leadership mentoring program (WorldQuant Leadership Institute), soft-skills training, multi-teaming for career breadth, and partnerships with external mentorship organizations. Free access to WorldQuant University courses.
- **Engineering culture**: Technologists work alongside researchers and portfolio managers; dedicated Technology Division with roles like AI software developer, data engineer, and C++ developer. Emphasis on inventing new methods and advancing quantitative research.

## Sources
1. [worldquant.com – Company Overview](https://www.worldquant.com/)
2. [worldquant.com – Careers](https://www.worldquant.com/careers/)
3. [worldquant.com – How We Work](https://www.worldquant.com/how-we-work/)
4. [worldquant.com – Who We Are](https://www.worldquant.com/who-we-are/)
5. [greenhouse.io – Jobs at WorldQuant](https://job-boards.greenhouse.io/worldquant/jobs/4565597006)

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