Wiremind

System Engineer

Wiremind

full-time

Posted on:

Origin:  • 🇫🇷 France

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Job Level

Junior

Tech Stack

CloudDNSElasticSearchFlaskGoGoogle Cloud PlatformGrafanaKubernetesLinuxOpenStackPostgresPrometheusPythonRabbitMQRedisRustShell ScriptingTCP/IP

About the role

  • Since 2014, Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360° approach combining UX, software, and AI .
  • Our expertise lies primarily in optimizing and marketing our clients' capacity. We work on various projects such as ticket forecasting and pricing , 3D optimization of air freight or scraping competitor prices .
  • Our applications are the preferred tool of companies such as SNCF, United Airlines, Qatar Airways or even PSG to visualize, analyze and optimize their capacity.
  • As a System / Platform Engineer , you'll help build, operate, and evolve the infrastructure that powers all Wiremind products.
  • You’ll focus on improving the reliability, scalability, and security of our systems while supporting developer autonomy through platform tooling and best practices.
  • While no two days are the same, your work will typically include: Contributing to the evolution of our platform : improving Kubernetes clusters designs, automating operations, and designing clean, maintainable infrastructure in collaboration with senior engineers
  • Maintaining and troubleshooting system components : from kernel-level issues to network stack behavior and storage performance
  • Improving the architecture and resilience of technical projects , with a focus on platform reliability and self-service capabilities
  • Helping software and data engineers become more autonomous in using the platform, deploying services, and monitoring production
  • Learning and sharing best practices around system design, observability, automation, and the DevOps mindset
  • Optionally, contributing to open-source projects or Kubernetes SIGs , helping move the ecosystem forward
  • Our 2025/2026 challenges focus on designing and deploying a new Kubernetes cluster architecture using state-of-the-art technologies and concepts—including Cluster API, and Cilium—to enhance automation, auto-repair capabilities, resilience, and isolation for workloads with 99.95% SLA requirements.

Requirements

  • You have an Engineering degree (or equivalent practical experience) and at least 1–2 years in a DevOps, SRE, or System/Platform Engineer role
  • You're confident working with Linux systems , and have some experience digging into performance, networking, storage or containers tweaking and/or issues
  • You’ve used Kubernetes (ideally self-managed) and are comfortable with core concepts like pods, services, and Helm charts and underlying concepts (kubeadm, etc)
  • You understand networking fundamentals (TCP/IP, routing, DNS), and are curious about advanced topics like CNIs (e.g. Cilium), service meshes or BGP
  • You've written scripts or tools in Python, Go, or Shell , and are comfortable automating tasks or building small utilities
  • You care about reliability, monitoring, and automation , and aim to build systems that scale and recover gracefully
  • You communicate well with teammates across engineering and product, and enjoy helping others adopt platform tooling
  • You're eager to grow your expertise in infrastructure and systems, and contribute to design and operations decisions