Our client is an exceptional quantitative hedge fund at the forefront of technology-driven investing. Operating across global markets, they have built a reputation for combining world-class research, engineering excellence, and cutting-edge infrastructure to deliver consistent performance. As the firm continues to invest heavily in its trading and research platforms, they are looking to hire a Senior Network Automation Engineer to join their infrastructure team in Paris.

They are looking for a proactive, technically curious engineer who is passionate about automating complex network environments and building scalable, resilient infrastructure. The ideal candidate will have a strong ownership mentality, a track record of driving automation initiatives, and a desire to work in a high-performance environment where engineering is viewed as a competitive advantage. This is an opportunity to have a direct impact on the technology that underpins a leading quantitative hedge fund's global research and trading operations.

• Build and enhance network automation tooling for large-scale datacentre environments.
• Develop automated workflows for network provisioning, validation, and operations.
• Capture network intent as code, implementing testing and quality controls.
• Integrate with vendor APIs and platforms to streamline infrastructure management.
• Improve network observability through monitoring, telemetry, and alerting.
• Partner with network and platform engineering teams to deliver scalable automation solutions.
• Drive NetDevOps best practices and continuous improvement across the environment.

• Strong Python development experience for infrastructure automation.
• Experience with Ansible and infrastructure-as-code methodologies.
• Good understanding of Git-based development workflows.
• Knowledge of Linux systems, networking fundamentals, and Bash scripting.
• Experience with source-of-truth platforms such as NetBox or Nautobot.
• Familiarity with observability tooling, including Prometheus and Grafana.
• Exposure to Docker and Kubernetes environments.
• Strong communication skills and a collaborative approach to problem-solving.