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WorldQuant

Global quantitative asset management via algorithms

Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeMontevideo, Montevideo Department, UruguayNo salary listed

About the Job

Requirements

  • A Bachelor's degree in Computer Science or a related discipline, or equivalent job experience.
  • Experience in Linux administration and fluency with standard Linux command-line programs.
  • Familiarity with Docker, Kubernetes, Helm, Grafana, Prometheus, and Git.
  • Working knowledge of database and messaging technologies such as SQL, Redis, and Kafka.
  • Understanding of Git and continuous integration and continuous delivery concepts.
  • Demonstrated experience using Python, including understanding Python idioms and limitations.
  • Fluency in English.
  • Availability for periodic coverage until 21:00 Uruguay time and light rotated daytime weekend coverage.

Responsibilities

  • Create scalable and highly reliable software systems for the production investment pipeline.
  • Improve system availability, latency, performance, efficiency, and capacity, and participate in change management, monitoring, emergency response, and capacity planning.
  • Enhance platform reliability by monitoring performance and setting relevant metrics.
  • Own and manage continuous integration and continuous delivery procedures, promoting DevOps practices through standardized release processes.
  • Containerize and scale services to fit business needs.
  • Monitor and manage hardware estate and file systems.
  • Apply industry-standard security practices.
  • Collaborate with engineering teams on new system design and enhancements to existing systems.
  • Explore new open-source technologies and leverage mature solutions.
  • Participate in an agile engineering team and continuously improve team performance.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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