AI Infrastructure Engineer

Mirantis

AI Infrastructure Engineer managing large-scale AI infrastructure systems for Mirantis, a Kubernetes-native AI company. Responsibilities include incident response, troubleshooting, and collaboration with a global team.

Posted 7/29/2026full-timeRemote • 🇯🇵 JapanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and operating large-scale production systems, with a strong focus on Kubernetes, infrastructure automation, and troubleshooting complex technical issues. Proficient in scripting and familiar with NVIDIA GPU technologies to enhance operational efficiency.

Highest-signal resume keywords

Kubernetes ManagementInfrastructure AutomationTroubleshooting SkillsScripting ProficiencyHigh-Performance Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesInfrastructure-as-CodeAnsibleTerraformPrometheusGrafanaELKPythonBashGo

Soft Skills

Analytical SkillsProblem-Solving SkillsEffective Communication

Tools & Technologies

Logging ToolsMonitoring ToolsProduction SystemsCloud EnvironmentsBare-Metal Environments

Industry Keywords

AI InfrastructureIncident ResponseRoot Cause AnalysisOperational DocumentationGlobal Collaboration

Tech Stack

Tools & technologies

AnsibleCloudGoGrafanaKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

Manage and operate production AI infrastructure environments.
Lead incident response and troubleshooting efforts and 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 and improve operational documentation and knowledge base.
Collaborate with global team members across time zones to ensure continuous operational coverage, including occasional work during weekends and holidays.

Requirements

What you’ll need

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 (e.g., Prometheus, Grafana, ELK, or similar).
Experience with infrastructure automation technologies and Infrastructure-as-Code practices (e.g., 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.
Nice to have: Previous experience building, scaling, and running High-Performance Computing (HPC) environments.
Hands-on experiences with managing large scale Kubernetes platforms in production.
A good understanding of NVIDIA GPU technologies and the associated software stack.
Proficiency in scripting languages (e.g., Python, Bash, Go).

Benefits

Comp & perks

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.