Senior AI Infrastructure and Platform Operations Engineer

🔥 vor 9 Minuten

🇪🇺 Europa – Remote

⏰ Vollzeit

🟠 Senior

🏗️ Plattformingenieur

👻 Geisterscore 22%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Mirantis

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

Consulting • Healthcare • Logistics

Mirantis ist ein Unternehmen, das sich auf Container-Management und Cloud-Infrastrukturlösungen spezialisiert hat. Das Portfolio umfasst unter anderem Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK) und Mirantis Container Cloud (MCC) – Plattformen für Kubernetes und Container-Management auf Enterprise-Niveau. Darüber hinaus entwickelt Mirantis Werkzeuge für sichere Software-Lieferketten, etwa die Mirantis Container Runtime (MCR) und die Mirantis Secure Registry (MSR). Als Verfechter von Open-Source-Technologien unterstützt Mirantis verschiedene Projekte und stellt Ressourcen wie Lens Desktop, eine beliebte Kubernetes-IDE, sowie technischen Support für Unternehmen bereit, die Cloud-native Technologien einführen. Die Lösungen von Mirantis richten sich an Bereiche wie den öffentlichen Sektor, Finanzdienstleistungen sowie SaaS- und Technologiedienstleistungen.

Beschreibung

• Lead investigation and resolution of complex infrastructure, networking, and platform-related incidents • Act as a senior escalation point during critical service-impacting events • Support large-scale NVIDIA GPU infrastructure and high-performance networking environments • Troubleshoot Linux, Kubernetes, networking, storage, and hardware-related issues • Analyze platform performance, capacity, stability, and reliability trends to identify risks • Lead root cause analysis and drive long-term corrective actions • Collaborate with engineering teams, hardware vendors, and datacenter personnel • Participate in major incident management and service restoration activities • Provide technical leadership for Kubernetes platform operations and supporting infrastructure services • Improve platform reliability, observability, monitoring, and operational processes • Automate repetitive operational activities and improve operational efficiency • Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions • Support AI-powered infrastructure services and operational capabilities through k0rdent AI • Evaluate emerging technologies and operational practices • Mentor and support AI Infrastructure & Platform Operations Engineers • Share technical knowledge through documentation, training sessions, and operational reviews • Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices • Help define operational processes, escalation paths, and service reliability standards • Advise during operational planning and service improvement initiatives

🎯 Anforderungen

• 7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles • Expert-level Linux administration and troubleshooting skills • Strong networking expertise, including diagnosing complex performance, connectivity, and reliability issues • Strong experience operating Kubernetes in production environments • Experience supporting large-scale production infrastructure and distributed systems • Proven experience leading technical investigations and managing complex incidents • Experience performing root cause analysis and driving long-term operational improvements • Strong understanding of observability, monitoring, and service reliability practices • Excellent troubleshooting and analytical skills across multiple infrastructure domains • Strong communication, collaboration, and stakeholder management skills • Experience in NVIDIA GPU infrastructure and accelerated computing platforms, InfiniBand networking and NVIDIA UFM, AI infrastructure environments, HPC environments, Platform Engineering or SRE, large-scale Kubernetes operations, infrastructure automation and Infrastructure-as-Code, observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry, performance analysis and optimisation of distributed infrastructure platforms, or technical leadership, mentoring, or team lead responsibilities is highly desirable

🏖️ Vorteile

• Operate some of the most advanced AI infrastructure environments in production today • Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments • Help define operational standards and reliability practices for next-generation AI infrastructure services • Influence the adoption of AI-powered operational capabilities through k0rdent AI • Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale • Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation • Remote work

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