Senior AI Infrastructure & Platform Operations Engineer

JobtailorWorkFromHome

Stellenbeschreibung:

Responsibilities

Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
Act as a senior escalation point for operational teams during critical service-impacting events.
Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
Lead root cause analysis activities and drive long-term corrective actions.
Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
Participate in major incident management and service restoration activities.
Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
Drive improvements in platform reliability, observability, monitoring, and operational processes.
Identify opportunities to automate repetitive operational activities and improve operational efficiency.
Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
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.
Act as a trusted technical advisor during operational planning and service improvement initiatives.

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 experience 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 one or more of the following areas is highly desirable: NVIDIA GPU infrastructure and accelerated computing platforms, InfiniBand networking and NVIDIA UFM, AI infrastructure environments, HPC environments, Platform Engineering or Site Reliability Engineering (SRE), Large-scale Kubernetes operations, Infrastructure automation technologies and Infrastructure-as-Code practices, Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry, Performance analysis and optimisation of distributed infrastructure platforms, Technical leadership, mentoring, or team lead responsibilities.

Core Competencies

Demonstrates expert-level Linux administration and troubleshooting, strong networking expertise, and extensive experience in Kubernetes operations. Proven ability to lead technical investigations, perform root cause analysis, and drive operational improvements in large-scale infrastructure environments.