Senior Systems Engineer at WorldQuant

Montevideo, Montevideo, Uruguay -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Linux system internals, Performance tuning, Troubleshooting, Networking, Distributed systems, Kubernetes, Kafka, Kerberos, CI/CD tools, SDLC practices, Containers, Virtualization, Docker, Observability, Telemetry, Python

Industry

Financial Services

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. The Role: We are seeking a Senior Systems Engineer to join a team that operates and evolves a complex distributed architecture spanning physical machines, Kubernetes and cloud computing environments. You will be part of a high-impact team championing operational excellence, reliability, and performance. The role involves: Working across multiple layers of the stack, Participating in our on-call system as part of a shared rotation, Collaborating closely with developers, Mentoring and supporting junior support staff, Helping integrate AI-driven solutions into our systems. What you'll bring: Strong Linux system internals, performance tuning, and troubleshooting skills. Solid networking knowledge and ability to debug complex connectivity issues. Hands-on experience with complex distributed systems (e.g., Kubernetes, Kafka, Kerberos). Practical experience with CI/CD tools and modern SDLC practices. Proficiency with containers and virtualization (Docker, Kubernetes, or similar). Experience with observability/telemetry. Strong scripting/automation skills (ideally Python). Ability to collaborate with developers and help integrate AI solutions into production systems. 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. By submitting this application, you acknowledge and consent to terms of the WorldQuant 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.

Responsibilities

The Senior Systems Engineer will operate and evolve a complex distributed architecture across physical machines, Kubernetes, and cloud environments, focusing on operational excellence, reliability, and performance. Responsibilities include working across the stack, participating in on-call rotations, collaborating with developers, mentoring junior staff, and integrating AI-driven solutions.