Senior Software Engineer, Execution Engineering

Emploi pas sur LinkedIn

🕒 il y a 9 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of The Voleon Group

The Voleon Group

201 - 500 employés

Fondée en 2007

💸 Finance

🤖 Intelligence artificielle

Finance • Artificial Intelligence

Le Voleon Group est une société de gestion d'investissement qui applique l'apprentissage automatique et une recherche statistique rigoureuse aux marchés financiers. Fondée avec une approche académique de la recherche, Voleon met l'accent sur des modèles évolutifs, la gestion des risques et la prédiction financière basée sur les données plutôt que l'intuition humaine. Basée près de l'UC Berkeley et opérant par l'intermédiaire de Voleon Capital Management LP et ses affiliés, la société recrute des chercheurs titulaires d'un doctorat en statistiques, informatique, et domaines quantitatifs connexes pour développer des stratégies d'investissement automatisées et gérer des fonds.

Description

• Design real-time distributed trading systems that place orders across a global set of markets and asset classes • Integrate with new assets and markets and drive clarity on the resulting requirements • Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testing • Own observability and remediation tooling used to analyze trading performance and risk • Improve the resilience and performance of our trading systems • Participate in on-call rotations and drive incident response, root-cause analysis, and postmortems • Lead projects spanning a number of engineering teams and collaborate with non engineering stakeholders • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

🎯 Exigences

• Bachelor’s, Master’s, or Doctorate degree in Computer Science, Engineering, or a related field (or equivalent experience) • 5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systems • Proven expertise in building cloud-native, distributed systems on any one of AWS, Azure, or GCP • Demonstrated experience with modern cloud technologies and data observability tools (e.g., CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (e.g., CloudFormation, Terraform) • Experience designing telemetry standards (structured logs, metrics, distributed traces) and building dashboards and actionable alerting • Comfortable working in a containerized environment with Docker, Kubernetes, etc • Strong coding, analytical, debugging, and troubleshooting skills including use of industry standard tools • Great at communicating and influencing stakeholders.

🏖️ Avantages

• medical, dental, and vision coverage • life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with a company match

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