AI Infrastructure Engineer

🔥 0 minutes ago

🇯🇵 Japan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Manage and operate production AI infrastructure environments • Lead incident response and troubleshooting efforts • Deliver timely service restoration during outages or performance degradations • Troubleshoot infrastructure and networking issues across bare-metal and/or cloud environments with multiple vendors • Conduct root cause analysis and drive product and operational improvements • Contribute to and improve operational documentation and the knowledge base • Collaborate with global team members across time zones to ensure continuous operational coverage • Occasionally work during weekends and holidays • Work hands-on with Kubernetes-based AI infrastructure in production

🎯 Requirements

• Proven experience managing and operating large-scale production systems (bare-metal and/or cloud) • Solid working knowledge of Kubernetes with excellent, demonstrable troubleshooting skills • Experience configuring, customizing, and extending logging and monitoring tools, such as Prometheus, Grafana, ELK, or similar • Experience with infrastructure automation technologies and Infrastructure-as-Code practices, such as Ansible, Terraform, or similar • Effective verbal and written communication skills in English • Strong analytical and problem-solving skills, with the ability to work through complex, ambiguous technical issues • Willingness to occasionally work weekends and holidays

🏖️ Benefits

• Professional development and training • Conference and working group attendance • Company outings, happy hours, hackathons, and tech talks • Competitive compensation package with a strong benefits plan • Opportunity to work with an established Silicon Valley leader • Work with passionate, talented colleagues and Fortune 500 and Global 2000 customers • Open-source innovation environment • High-energy environment valuing openness, collaboration, risk-taking, and continuous growth