Director of Cloud Operations (US Neocloud)

Company shown to members 🔒 · Remote · US only

US onlySeniorPublished 9 November 2026Looks fresh

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First recorded by Psst: 10 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Senior
Where you can live
US only
Skills and tools
aws, kubernetes, linux, machine learning, customer success, sla
Time zone
US time zone
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
9 November 2026
First recorded by Psst
10 November 2026
Last checked at the source
11 November 2026

About the job

The company 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 the company 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.

Why you’ll love the company

  • Work with an established 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.
  • Receive a competitive compensation package with strong benefits plan.
  • We are a  Leader for Container Management  in G2 (#2 after AWS)!

It is understood that the company, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [link for members]

By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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

About the company

The company 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, the company 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, the company 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, the company ensures that customers retain full control of their infrastructure strategy.

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