Senior AI Deployment Engineer

🕒 vor 1 Monat

🤠 Texas – Remote

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⏰ Vollzeit

🟠 Senior

⛑ DevOps- und Site Reliability Engineer (SRE)

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 20%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Mirantis

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

• Work with geographically distributed international teams on technical challenges and process improvements. • Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software. • Collaborate with stakeholders to gather and refine technical requirements. • Optimize system performance, reliability, and scalability. • Troubleshoot, debug, and resolve complex technical issues. • Participate in code reviews to maintain high quality standards. • Stay up to date with industry trends and best practices in cloud operations and development. • Design and implement AI-driven automation across the DevOps lifecycle, including code development and maintenance. • Facilitate knowledge transfer to customers during the delivery phases.

🎯 Anforderungen

• 5+ years of professional experience in DevOps, with a strong focus on cloud and infrastructure technologies, including Kubernetes and/or OpenStack • Experience with high-performance data center processing, networking, and storage • Exposure to Golang and working knowledge of other programming languages (Python, JavaScript). • Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines. • Exceptional problem-solving and debugging skills across networking and storage (hardware and software), Linux, and Kubernetes, with attention to performance optimization and security. • Demonstrated ability to lead technical tasks and collaborate effectively with diverse teams. • Comfortable making independent judgment calls when working directly with customers, often with limited day-to-day oversight. • Excellent written and spoken English. • Excellent customer-facing communication skills. • A commitment to innovation, continuous learning, and delivering high-quality results. • Ability to travel up to 25% if needed, including internationally. • Nice to have Extensive experience in network and/or storage architecture. • Experience with high-performance computing or GPU infrastructure: GPU scheduling, MIG/vGPU, RDMA/RoCE or InfiniBand fabrics, NVLink, DCGM health-checking, GPU driver/firmware lifecycle or NVIDIA AI Enterprise. • Presence in the open source community including upstream contribution and conference presentations. • Prior experience with commercial container and virtual compute infrastructure platforms such as Rancher, Openshift, and VMware.

🏖️ Vorteile

• Work with an established Silicon Valley leader in the cloud infrastructure industry; • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies; • Be a part of cutting-edge, open-source innovation; • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued; • Professional development and training; • Attend conferences and working groups; • Company outings, happy hours, hackathons, and tech talks; • Receive a competitive compensation package with a strong benefits plan.

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