Site Reliability Engineer (Client Platform)

Join our team as a Site Reliability Engineer (Client Platform) where you will focus on building scalable, automated solutions for seamless deployments, security configurations, and efficient operational workflows. You will own and optimize MDM platforms, gather telemetry data, partner with Security, IT, and Infrastructure, and build dashboards to measure end-user experience. Enjoy benefits such as a relocation stipend, 100% coverage of platinum medical, dental, vision, and life insurance plans, 401k, and a flexible vacation policy.

Missions

• Construire des solutions évolutives et automatisées pour garantir des déploiements sans faille, des configurations de sécurité et des flux de travail opérationnels efficaces.
• Posséder, administrer et optimiser les plateformes MDM pour appliquer les configurations et résoudre les problèmes récurrents.
• Collaborer avec les équipes de sécurité, d'informatique et d'infrastructure pour traduire les exigences de conformité en normes gérées par le code.

Profil recherché

- Scalability. Hands-on experience with Infrastructure as Code (IaC) and configuration management: Ansible and Terraform (or equivalents like Chef, Salt, Puppet, Pulumi)

- Ownership. You treat the fleet as a product, take incidents personally, and close the loop with automation rather than a runbook. Strong scripting in Python, Bash, and PowerShell

- Device Management. Working knowledge of at least one major MDM (Fleet DM, Intune, Jamf, Workspace ONE) and its API surface

- Security Remediation. Practical experience with patch management, vulnerability remediation, and endpoint hardening on both macOS and Windows

- Strong computer science fundamentals. You can reason about systems from the operating system up, demonstrating durable and sustainable solutions

- Experience building self-healing or auto-remediation platforms (remote actions, osquery + response, custom agents). Exposure to OT (Operational Technology) systems

- Comfort operating in an SRE culture: SLOs, error budgets, and blameless postmortems applied to the end-user experience