Public listing

Director of Cloud Operations (US Neocloud)

Mirantis Austin, TX, United States
  • Experience10+ yrs
  • Work modeYes
  • EmploymentFull-time
  • ListedPosted 18 hours ago
  • SourceSmartrecruiters

Role overview

About the role

Description supplied by the original job listing.

Mirantis delivers and operates infrastructure for AI neoclouds: GPU-dense data centres, Kubernetes-based platforms (k0rdent) and the operational services that keep them running. You be part of a follow-the-sun leadership model and will own day-to-day operations for the US time zone.
You will be accountable for uptime, incident response, capacity and customer outcomes. You will lead a team of engineers and operators, and stay close enough to the technology to make sound calls during an incident.
Responsibilities
Own operational delivery for US neocloud customers: availability, SLAs, incident and problem management, and change control.
Lead and develop the US operations team, including engineers, NOC/SRE staff and site-level coordinators. Set hiring plans, on-call structure and performance standards.
Run GPU cluster operations: health monitoring, firmware and driver lifecycle, fabric and storage performance, node replacement and capacity planning.
Act as leadership escalation point for major incidents and lead the communication with customer executives.
Work with customer data centre and engineering teams to define runbooks, handover processes and operating models.
Work with Sales, Solutions Engineering and Product to scope operational services, support pricing and resolve delivery risk before contracts are signed.
Define and report operational KPIs (uptime, MTTR, ticket ageing, GPU utilisation, SLA attainment) to Mirantis leadership and customers.
Manage vendor relationships with hardware, networking and data centre providers.
Improve operations through automation, standard tooling and a single operational view across sites.
Coordinate with our European and APAC operations teams for follow-the-sun coverage and consistent practice.
10+ years in infrastructure or cloud operations, including 5+ years leading technical teams and at least 2 years managing managers or multi-site teams.
Experience managing teams operating AI/GPU infrastructure at scale (NVIDIA H100/H200/GB200-class or equivalent), including InfiniBand or RoCE fabrics, DCGM and scheduler/orchestration layers such as Kubernetes or Slurm.
Strong conventional infrastructure background: Linux, networking, storage, virtualisation or bare-metal provisioning, power and cooling fundamentals.
Production experience with Kubernetes and the surrounding tooling (observability, GitOps, infrastructure as code).
Track record running a NOC or SRE function with defined SLAs, on-call rotations and formal incident management (ITIL or equivalent).
Experience working directly with customers or tenants during incidents, including at executive level.
Ability to read and challenge technical designs, and to explain operational trade-offs to non-technical stakeholders.
Preferred experience
Experience at a neocloud, GPU cloud, hyperscaler, colocation or managed services provider.
Familiarity with bare-metal lifecycle tooling (Metal3, MAAS, Ironic or similar) and multi-tenant GPU platforms.
Experience building or scoping managed-service offerings, including SLAs and pricing inputs.
Experience with Prometheus, Grafana, VictoriaMetrics, OpenTelemetry or comparable observability stacks.
Certifications such as CKA/CKAD, ITIL 4 or relevant NVIDIA credentials.
Leadership expectations
Sets clear priorities and holds the team to them.
Hires well and develops people. Can build a team from a small base.
Makes decisions under pressure and takes ownership of outcomes.
Communicates plainly with engineers, customers and executives.
Works across Customer Success, Sales, Engineering and Product without needing formal authority.

Skills
Linux, Kubernetes, Customer Success

Experience
10+ yrs

Employment type
Full-time

Work arrangement
Yes

Skills from the listing

  • Linux
  • Kubernetes
  • Customer Success

Your early-applicant advantage

How quickly JobBeeper finds and shares openings.

20 min from Smartrecruiters publishing this role to us finding it
20 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
78,362 roles found in the last 24 hours
See available plans →

Job alerts

Get notified about new openings

Set your preferences and JobBeeper will send matching roles as it finds them.

Create free account
Log in to apply