
5001 - 10000 employés
Fondée en 1998
🏢 Entreprise
🤖 Intelligence artificielle
🔐 Sécurité
Enterprise • Artificial Intelligence • Security
Rackspace Technology est un fournisseur mondial de services cloud managés qui conçoit, construit, migre et exploite des environnements de cloud multiple, hybride et privé pour les entreprises. Il offre des services de conseil, professionnels et managés à travers l'infrastructure cloud, la modernisation des applications, les plateformes de données, l'IA/ML (Foundation de l'IA/FAIR), et la cybersécurité, ainsi que l'hébergement managé, la colocation et les intégrations de plateformes avec les principaux hyperscalers. Rackspace dessert des industries réglementées et essentielles en se concentrant sur la sécurité, la conformité, l'optimisation des coûts et la fiabilité opérationnelle.
🕒 il y a 19 jours
🗣️🇺🇸🇬🇧 Anglais requis
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5001 - 10000 employés
Fondée en 1998
🏢 Entreprise
🤖 Intelligence artificielle
🔐 Sécurité
Enterprise • Artificial Intelligence • Security
Rackspace Technology est un fournisseur mondial de services cloud managés qui conçoit, construit, migre et exploite des environnements de cloud multiple, hybride et privé pour les entreprises. Il offre des services de conseil, professionnels et managés à travers l'infrastructure cloud, la modernisation des applications, les plateformes de données, l'IA/ML (Foundation de l'IA/FAIR), et la cybersécurité, ainsi que l'hébergement managé, la colocation et les intégrations de plateformes avec les principaux hyperscalers. Rackspace dessert des industries réglementées et essentielles en se concentrant sur la sécurité, la conformité, l'optimisation des coûts et la fiabilité opérationnelle.
• Architect and implement Kubernetes Operators and controllers that drive programmatic hardware provisioning and lifecycle management • Design and build internal developer tooling and automation pipelines that improve engineering velocity across the organization • Own technical decision-making for your domain, including technology selection, API design, and data modeling • Write robust, well-tested Go services and tools, maintaining high standards for code quality and operational reliability • Collaborate with data and infrastructure teams to model, integrate, and expose hardware inventory and state data (e.g., via DCIM/IPAM systems) • Identify gaps in existing tooling and automation; propose and lead initiatives to address them • Provide technical leadership and mentorship to developers across the team • Contribute to operational responsibilities including incident response, observability, and continuous improvement of platform reliability • Evaluate new technologies and patterns relevant to infrastructure automation and make well-reasoned adoption recommendations
• Ten or more years of software development experience, with at least five years writing production Go (Golang) • Demonstrable experience building Kubernetes Operators or controllers using controller-runtime or kubebuilder • Strong working knowledge of the Kubernetes API machinery, including custom resources, admission webhooks, and reconciliation patterns • Five or more years working in Linux/Unix environments, including shell scripting and systems-level debugging • Experience designing and operating microservices in a Kubernetes-native environment • Deep proficiency in Go, including idiomatic concurrency patterns, testing, and performance optimization • Solid understanding of data modeling and APIs for representing infrastructure state — hardware inventory, network topology, provisioning workflows • Experience with CI/CD pipelines and GitOps-style workflows (GitHub Actions, ArgoCD, or similar) • Familiarity with infrastructure-as-code and configuration management tooling • Strong debugging, observability, and incident analysis skills • Ability to drive technical architecture from ambiguous requirements through to delivered, production-grade outcomes • Excellent written and verbal communication skills; comfortable presenting technical proposals to engineers and stakeholders alike • Effective in a globally distributed engineering organization • Strong sense of ownership: you treat the systems you build as production responsibilities, not just code deliverables.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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