NOC Engineer - Highrise AI

Hut 8
Worldwide Remote
RemoteCareer-pivot friendly

Who this role is best for

Strong fit for candidates with 2+ years of experience in 24x7 network and compute infrastructure support who thrive in collaborative, high-stakes environments.

Best fit for

  • Candidates with 2+ years of experience in 24x7 infrastructure support and a background in AI/ML environments
    — “2 years or more experience with directly supporting customers using network and/or compute infrastructure at scale in 24x7 environments.”
  • Individuals who enjoy working in hybrid or remote settings while maintaining high standards of service and reliability
    — “This role is hybrid or remote depending on location.”
  • Candidates who can advocate for customer needs and collaborate across product and platform teams
    — “Bring the voice of the customer to product and platform teams to ensure we deliver the services and features they need.”

Things to consider

  • Travel to data centers is a requirement for cluster commissioning and complex troubleshooting
    — “Travel to data centers for cluster commissioning, acceptance, and complex troubleshooting will be required.”
  • The role expects flexibility to assist with critical incidents outside regular business hours
    — “Flexibility to assist with critical incidents or maintenance activities outside regular business hours is expected.”

How to stand out

  • Highlight experience with large-scale infrastructure and SLA management in your resume and interviews
    — “Manage impacts to compute, storage, and network resource pools to meet SLA commitments.”
  • Emphasize your ability to triage customer cases and provide timely updates during incidents
    — “Provide low-latency, context-aware direct customer support to ensure Highrise customers get the most from our infrastructure.”
  • Showcase your skills in creating and maintaining documentation and runbooks for infrastructure systems
    — “Create and maintain clear documentation, standards, and runbooks for your focus area.”
  • Demonstrate your ability to automate processes and reduce operational toil in your work history
    — “Continuous improvement mindset; proactively automates and eliminates operational toil.”
  • Demonstrate experience in working with cross-functional teams to influence technical standards
    — “Help define the technical standards for a growing global AI infrastructure platform.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Providing low-latency customer support
  • Managing resource pools
  • Aiding in the triage of inbound cases
  • Creating and maintaining documentation
  • Bringing customer voice to product teams
Typical background
Network OperationsCustomer Support

Skills & requirements

Required

Network OperationsCustomer SupportProactive MonitoringIncident ManagementDocumentationEnablementCollaborationCustomer ServiceOperational StandardsFirmware And Configuration Upgrades

Preferred

AI InfrastructureGPU Compute

Stack & domain

Network OperationsCustomer SupportSLA CommitmentsCase TriageIncident ManagementProactive MonitoringDocumentationEnablementCollaborationFleet ManagementFirmware UpgradesConfiguration UpgradesPlanned MaintenanceCustomer VoiceProduct And Platform TeamsAI InfrastructureGPU ComputeConfidential ComputeEnterprise-grade InfrastructureApi-driven AccessHardware-enforced IsolationAI Model DeploymentEnterprise-grade Confidential ComputeManaged ServicesThird-party GPU HardwareOperational StandardsAnalyticalProblem-solvingAttention To DetailPrioritizationExecutionCustomer ServiceSelf-motivationOwnershipOutcomesWritten CommunicationVerbal CommunicationInterpersonal SkillsTeamworkLeadershipMeritocratic SettingLearning CurveNetworkingProfessional ConnectionsTechnologyEnergyAIMLInfrastructureOperationsComputeStorageNetworkGPU Clusters

About the role

Original posting from Hut 8 via Greenhouse

About Highrise AI 

Highrise AI is a GPU-native infrastructure platform built for modern AI workloads. Designed for developers and enterprises operating in performance-critical and security-sensitive environments, Highrise delivers scalable GPU compute across dedicated clusters, managed cloud, and confidential environments. 

Highrise combines bare-metal performance with full-stack orchestration, API-driven access, and hardware-enforced isolation to support training, fine-tuning, and production-scale deployment of AI models. From reserved GPU capacity to enterprise-grade confidential compute, Highrise provides flexible infrastructure models tailored to the needs of builders operating at scale. 

Beyond infrastructure, Highrise integrates disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance across deployments. These capabilities extend beyond Highrise-owned fleets: through managed services, Highrise also operates third-party GPU hardware on behalf of customers and partners, applying the same operational standards to infrastructure it does not own. 

Highrise is a subsidiary of Hut 8 Corp., an energy infrastructure platform. Hut 8 integrates power, digital infrastructure, and compute at scale. Highrise serves as the compute and operations layer—designing, deploying, and operating next-generation GPU clusters from commissioning through production. 

ROLE OVERVIEW 

We are looking for Network Operations Engineers to provide 24x7 oversight and response to service impacts to our AI/ML infrastructure.  The successful candidate combines proven experience in high-stakes 24x7 environments, demonstrated technical aptitude in learning new systems and procedures quickly, and excellent customer-facing skills. 

KEY RESPONSIBILITIES 

Proactive Monitoring, Customer Case Triage, and Incident Management Support 

Provide low-latency, context-aware direct customer support to ensure Highrise customers get the most from our infrastructure.  

Manage impacts to compute, storage, and network resource pools to meet SLA commitments.  

Help drive customer-driven workflow by aiding in the triage of inbound cases. 

Provide timely updates on incidents, and escalation when necessary. 

Documentation, Enablement, and Collaboration 

Create and maintain clear documentation, standards, and runbooks for your focus area. 

Aid SRE in fleet management including firmware and configuration upgrades and orchestration of planned maintenance. 

Bring the voice of the customer to product and platform teams to ensure we deliver the services and features they need. 

ABOUT YOU 

Education and Experience 

College diploma or university degree in computer science, engineering, or related field, and/or equivalent work experience. 

2 years or more experience with directly supporting customers using network and/or compute infrastructure at scale in 24x7 environments. 

Core Competencies 

Strong analytical and problem-solving abilities, with high attention to detail. 

Effective at prioritizing and executing tasks in a high-pressure environment. 

Strong customer service orientation and a demonstrated willingness to help internal and external stakeholders. 

Highly self-motivated and directed, with a bias toward ownership and outcomes. 

Excellent written and verbal communication skills and strong interpersonal skills. 

Collaborative team player who operates effectively with minimal supervision. 

Continuous improvement mindset; proactively automates and eliminates operational toil. 

ABOUT THE WORK ENVIRONMENT 

This is a full-time, engineering role supporting large-scale AI compute infrastructure across multiple sites. Travel to data centers for cluster commissioning, acceptance, and complex troubleshooting will be required. Flexibility to assist with critical incidents or maintenance activities outside regular business hours is expected. This role is hybrid or remote depending on location. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

WHAT MAKES HIGHRISE A GREAT PLACE TO WORK 

At Highrise, you will directly influence the performance, reliability, and production readiness of large-scale AI clusters, work alongside experienced infrastructure engineers, and help define the technical standards for a growing global AI infrastructure platform. 

At Highrise, you will have the opportunity to: 

Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting 

Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government 

Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team 

Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure 

Source: Hut 8 careers (Greenhouse)

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