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.
Key Responsibilities
- 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.
Key Skills & Experience
- 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.
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