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Senior AI Infrastructure & Platform Operations Engineer

Remote, USA Full-time Posted 2026-06-13

Company Description

Mirantis helps organizations ship code faster on public and private clouds. The company provides a public cloud experience on any infrastructure from the data center to the edge. With Lens and the Mirantis Cloud Native Platform, Mirantis empowers a new breed of Kubernetes developers by removing infrastructure and operations complexity and providing one cohesive cloud experience for complete app and devops portability, a single pane of glass, and automated full-stack lifecycle management with continuous updates. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.

Job Description

About the Role We are building a European AI Infrastructure & Platform Operations team responsible for operating large-scale AI infrastructure environments powered by NVIDIA GPUs, high-performance networking, Kubernetes, and next-generation platform technologies. As a Senior AI Infrastructure & Platform Operations Engineer, you will serve as a technical leader within the operations organization, providing deep expertise across infrastructure, networking, platform operations, and service reliability. You will be responsible for driving operational excellence across complex production environments while acting as a key escalation point for critical incidents and challenging technical issues. This role combines hands-on technical operations with technical leadership, helping shape operational standards, reliability practices, automation initiatives, and the future evolution of AI-powered operational services through platforms such as k0rdent AI. Responsibilities: Technical Operations & Service Reliability 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. Platform Operations & Engineering 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. Technical Leadership 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.

Qualifications

Required Skills & Experience: 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. Preferred qualifications: 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. Additional Information

We offer

Operate some of the most advanced AI infrastructure environments in production today. Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments. Help define operational standards and reliability practices for next-generation AI infrastructure services. Influence the adoption of AI-powered operational capabilities through k0rdent AI. Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale. Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation. #LI-Remote We are a Leader for Container Management in G2 (#2 after AWS)! Apply To This Job

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This position is an excellent opportunity for motivated and detail-oriented teenagers looking to build valuable work experience in a fast-paced environment. Key Responsibilities: Accurately enter customer data into our internal systems. Review and verify data for accuracy and completeness. Organize and maintain data files and records. Assist in organizing information and preparing reports. Communicate effectively with team members to resolve discrepancies. Who We Are Looking For This role is perfect for a responsible 17-year-old who is eager to learn and grow. We are looking for candidates who meet the following criteria: Essential Qualifications: Must be 17 years old by the time of application. High School student or recent graduate preferred. Basic computer skills and familiarity with Microsoft Office Suite. Strong attention to detail and organization skills. Ability to work independently as well as a part of a team. Effective communication skills—both written and verbal. Willingness to learn and accept feedback. What We Offer Working at Hirevector comes with unique benefits tailored to help you thrive: Benefits and Perks: Flexible working hours that can accommodate your school schedule. A competitive hourly wage. Professional development opportunities and training. A supportive work environment with a focus on teamwork. Networking and potential career advancement within the company. Diversity and Inclusion At Hirevector, we value diversity and strive to create an inclusive work environment. We believe that the more diverse our workforce, the better we can serve our customers. We are proud to be an Equal Opportunity Employer where everyone can find success. Your Next Steps If you’re excited about the opportunity to gain skills and be part of an innovative team, we encourage you to apply! This position is a fantastic way for 17-year-olds to gain essential work experience and a chance to contribute to a global leader in technology. 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