Senior AI Infrastructure, Platform Operations Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Oversee the investigation and resolution of intricate incidents related to infrastructure, networking, and platforms.

• Serve as a senior escalation point for operational teams during critical events that impact services.

• Provide support for extensive NVIDIA GPU infrastructure and high-performance networking environments.

• Diagnose complex issues related to Linux, Kubernetes, networking, storage, and hardware.

• Evaluate platform performance, capacity, stability, and reliability trends to proactively pinpoint risks.

• Lead root cause analysis efforts and implement long-term corrective measures.

• Collaborate with engineering teams, hardware vendors, and datacenter staff to tackle complex technical challenges.

• Engage in major incident management and service restoration efforts.

• Offer technical guidance for Kubernetes platform operations and related infrastructure services.

• Drive enhancements in platform reliability, observability, monitoring, and operational workflows.

• Identify chances to automate repetitive operational tasks and enhance efficiency.

• Contribute to operational readiness assessments, infrastructure modifications, upgrades, and service launches.

• Assist in the adoption and operation of AI-driven infrastructure services and capabilities via k0rdent AI.

• Assess emerging technologies and operational methodologies to enhance service delivery and platform resilience.

• Mentor and support engineers in AI Infrastructure & Platform Operations.

• Disseminate technical knowledge through documentation, training sessions, and operational evaluations.

• Develop and uphold operational standards, runbooks, troubleshooting manuals, and best practices.

• Help establish operational processes, escalation paths, and service reliability benchmarks.

• Act as a reliable technical advisor during operational planning and service enhancement initiatives.

⛳️ Requirements

• Over 7 years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or similar technical positions.

• Advanced skills in Linux administration and troubleshooting.

• Strong expertise in networking, including diagnosing complex performance, connectivity, and reliability challenges.

• Significant experience operating Kubernetes in production settings.

• Experience in supporting large-scale production infrastructure and distributed systems.

• Demonstrated ability to lead technical investigations and manage complex incidents.

• Proven experience in conducting root cause analysis and implementing long-term operational enhancements.

• Solid understanding of observability, monitoring, and service reliability practices.

• Excellent troubleshooting and analytical abilities across various infrastructure domains.

• Strong communication, collaboration, and stakeholder management capabilities.

• Experience in one or more of the following areas is highly desirable: NVIDIA GPU infrastructure and accelerated computing platforms.

• InfiniBand networking and NVIDIA UFM expertise.

• Familiarity with AI infrastructure environments.

• Experience in HPC environments.

• Background in Platform Engineering or Site Reliability Engineering (SRE).

• Large-scale Kubernetes operations experience.

• Knowledge of infrastructure automation technologies and Infrastructure-as-Code practices.

• Competence with observability platforms like Grafana, Prometheus, ELK, or OpenTelemetry.

• Skills in performance analysis and optimization of distributed infrastructure platforms.

• Experience in technical leadership, mentoring, or team leadership roles.

🏝️ Benefits

• Operate within some of the most advanced AI infrastructure environments currently in production.

• Work with cutting-edge NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking setups.

• Help shape operational standards and reliability practices for next-generation AI infrastructure services.

• Influence the integration of AI-driven operational capabilities through k0rdent AI.

• Collaborate with skilled engineers to solve complex infrastructure and platform challenges at scale.

• Join a growing organization that is heavily investing in AI infrastructure, platform services, and operational innovation.