Mirantis Logo

Mirantis

AI Infrastructure & Platform Operations Engineer (remote in the US)

Reposted One Month Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Operate and support production AI infrastructure across global datacenters, focusing on high-performance NVIDIA GPU platforms, Kubernetes, and high-speed networking. Monitor and troubleshoot infrastructure, network, hardware, and platform incidents; participate in incident response and root cause analysis; improve observability, automation, and operational runbooks.
The summary above was generated by AI
Company Description

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.  https://www.mirantis.com/

Job Description

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.

Responsibilities

  • Monitor, operate, and support production AI infrastructure platforms.

  • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.

  • Support NVIDIA GPU infrastructure and associated platform services.

  • Monitor and troubleshoot Kubernetes-based environments.

  • Investigate performance, availability, and reliability issues across infrastructure and platform components.

  • Collaborate with engineering teams, hardware vendors, Data Center personnel, and service delivery teams to resolve technical issues.

  • Participate in incident response, root cause analysis, and operational improvement activities.

  • Contribute to improvements in monitoring, observability, automation, and operational processes.

  • Maintain operational documentation, runbooks, and knowledge articles.

Qualifications

Required Experience

  • 3+ years of experience in infrastructure operations, platform operations, network operations, site reliability engineering, cloud operations, datacenter operations, or related technical roles.

  • Strong Linux administration and troubleshooting skills.

  • Good understanding of networking concepts and experience diagnosing infrastructure-related issues.

  • Working knowledge of Kubernetes in production environments.

  • Experience supporting production infrastructure and services.

  • Strong analytical and problem-solving skills.

  • Experience working within structured operational and incident management processes.

  • Excellent communication and collaboration skills.

Ability to work within a shift-based operational environment.

Preferred Experience

Experience in one or more of the following areas is highly desirable:

  • NVIDIA GPU infrastructure and accelerated computing platforms.

  • InfiniBand networking and NVIDIA UFM.

  • Kubernetes platform operations.

  • AI infrastructure or HPC environments.

  • Site Reliability Engineering (SRE) or Platform Engineering.

  • Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.

  • Infrastructure automation technologies and Infrastructure-as-Code practices.

  • Large-scale distributed systems and production platforms.

 

Why Join Us?

  • Work with some of the most advanced AI infrastructure environments in production today.

  • Gain exposure to NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.

  • Help define how next-generation AI infrastructure is operated and supported.

  • Be part of a team shaping the future of AI-powered operations through k0rdent AI.

  • Join a growing organisation investing heavily in AI infrastructure and platform services.

Additional Information

What does Mirantis offer you?

  • Work with an established Silicon Valley leader in the cloud infrastructure industry;
  • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
  • Be a part of cutting-edge, open-source innovation;
  • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
  • 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.

We are a Leader for Container Management in G2 (#2 after AWS)!

Similar Jobs

Senior level
Software
Lead operations for large-scale AI infrastructure: manage NVIDIA GPU and high-performance networking environments, troubleshoot Linux/Kubernetes/storage/hardware issues, drive incident response and root cause analysis, improve observability and automation, mentor engineers, and collaborate with engineering and datacenter teams to ensure platform reliability and scalability.
Top Skills: ElkGrafanaInfinibandInfrastructure-As-CodeK0RdentKubernetesLinuxNvidia GpusNvidia UfmOpentelemetryPrometheus
18 Minutes Ago
Remote or Hybrid
140K-180K Annually
Senior level
140K-180K Annually
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Lead functional safety consulting for vehicle, autonomous systems, industrial automation, battery, and energy storage programs. Develop safety concepts, requirements, safety cases, hazard analyses, and hardware and software safety work products. Perform FMEA, FMEDA, FTA, STPA, and DFA assessments while ensuring compliance with functional safety standards. Lead workshops, training, client reviews, technical assessments, and confirmation measures. Support business development through statements of work, estimates, proposals, and industry representation. Occasional travel to client sites may be required.
Top Skills: DfaFmeaFmedaFtaHaraIec 61508Iec/En 62061Iso 13849Iso 21448Iso 26262Iso 61511StpaUl 4600
18 Minutes Ago
Remote or Hybrid
110K-150K Annually
Senior level
110K-150K Annually
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Leads automotive and embedded-systems cybersecurity consulting engagements, developing ISO/SAE 21434 and ISO 24089 processes, templates, risk analyses, cybersecurity concepts, verification documents, and assessment reports. Guides clients in secure software design, coding, testing, and compliance with UN Regulations 155 and 156. Responsibilities also include client program leadership, proposals and business development, standards participation, technical guidance, and occasional travel to client sites.
Top Skills: Aspice For CybersecurityCybersecurity Management Systems (Csms)Cybersecurity Resilience Act (Cra)Dynamic Application Security Testing (Dast)Embedded SystemsFuzz TestingIso 21448 (Sotif)Iso 24089Iso 26262Iso 27001Iso/Sae 21434Network SegmentationNist Cybersecurity FrameworkOwaspPenetration TestingSecure BootSoftware Update Management Systems (Sums)Static Application Security Testing (Sast)Un Regulations No. 155 And 156Vulnerability Scanning

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account