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Anthropic

Data Center Hardware Operations Lead

Anthropic

Published 14 May 2026
Sydney, Australia
Full Time

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Role Highlights

Languages used

Key skills

Computer Science
SME
Supply Chain Management
Incident Management
AI
Operations
Data
Infrastructure
Deployment
QA
Testing
Optimization
Logistics
Machine Learning
Operators
Research
Physics
Biology
Interpretability
Multimodal

Tools, Libraries and Frameworks

Power BI
Tableau
HTTP

Description

The role involves defining and managing end-to-end operations for a growing fleet of data center hardware. Responsibilities include overseeing physical deployment, maintenance, and incident response for network and compute platforms. The position requires developing scalable processes for execution and managing relationships with external partners and vendors. Coordination with design, engineering, and capacity planning teams is essential to ensure operational efficiency. The individual will also drive the development of tools to support workflows and improve equipment availability.

Required Qualifications and Skills

Candidates must possess at least seven years of experience in data center operations as a manager, engineer, or technical lead. A proven track record in overseeing mission-critical systems and expertise in operational processes such as deployment and maintenance is required. Proficiency in data analytics and dashboarding tools like PowerBI, Atlassian Analytics, or Tableau is necessary. A bachelor's degree in a relevant domain or an equivalent combination of education and experience is required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Anthropic

Size

265

Public/Private

Privately Held

Description

Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.

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