Senior AI Infrastructure & Platform Operations Engineer
New
M
MirantisAI infrastructure
Remote in the EU; Source API remote eligibility restrictions: PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles.
- Required Skills
- KubernetesGrafanaPrometheusLinuxNetworking
Requirements
- 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.
- Experience in one or more desirable areas: NVIDIA GPU infrastructure, InfiniBand networking and NVIDIA UFM, AI infrastructure, HPC, platform engineering or SRE, infrastructure automation and Infrastructure-as-Code, observability platforms, or distributed infrastructure performance analysis.
- Technical leadership, mentoring, or team lead experience is desirable.
Responsibilities
- Lead investigations and resolution of complex infrastructure, networking, and platform 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 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 to resolve technical challenges.
- Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
- Improve platform reliability, observability, monitoring, and operational processes; identify automation opportunities.
- Mentor engineers and maintain operational standards, runbooks, troubleshooting guides, and best practices.
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