Senior AI Infrastructure & Platform Operations Engineer (remote in the US)
Mirantis•Austin, TX
•Remote
About The Position
Our organization is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks. This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint. Positioned at the nexus of core infrastructure and network engineering, you will sustain the high-performance environments essential for contemporary AI application suites. This position offers the chance to engage with pioneering AI hardware while driving the development of automated operational capabilities via the k0rdent AI platform.
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.
Nice To Haves
- 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.
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.
Benefits
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
