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Staff Engineer, Datacenter Server Lifecycle

AnthropicSydney, AustraliaSoftware Engineering - Infrastructure
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Salary
Not listed
Job type
Full-time
Posted
9 Jul 2026
Status
Open · checked 7d ago

About this role

The Staff Engineer, Datacenter Server Lifecycle role at Anthropic in Sydney involves managing the entire operational journey of physical datacenter servers that power frontier AI models. This position suits experienced infrastructure professionals eager to build greenfield automation and trusted compute standards for large-scale AI hardware.

Role Overview

Anthropic is investing significantly in computing infrastructure, building custom datacenters for advanced workloads. The Staff Engineer on the Datacenter Server Lifecycle team owns the operational journey of every machine from initial deployment through maintenance, repair, and decommissioning. This greenfield initiative requires defining the services, tooling, and standards needed to operate critical hardware at scale. The role heavily intersects with security, partnering with infrastructure teams to ensure every machine in the fleet is trusted, attested, and operating with a verified chain of integrity.

Key Responsibilities

Build automation to support massive datacenter fleets.
Define and own the end-to-end system lifecycle strategy, including provisioning, deployment, maintenance, refresh, and decommissioning.
Partner with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
Collaborate with networking teams to guarantee end-to-end connectivity across all sites.
Build and maintain tooling for tracking machine health, configuration, and operational status.

Requirements

Hands-on background with server hardware, such as rack deployment, cabling, troubleshooting, and understanding scale failure modes.
End-to-end understanding of hardware lifecycle management covering asset tracking and provisioning workflows.
Proficiency in at least one programming language like Python, Rust, Go, or Java.
Working knowledge of modern cloud infrastructure, including Kubernetes and hyperscalers like AWS, Azure, or GCP.
Clear communication skills, consensus-building abilities, and comfort navigating complex cross-functional ambiguity.

Nice to Have

8+ years of experience in datacenter infrastructure management or related fields.
Practical experience with GPU or AI accelerator hardware such as NVIDIA A100 or H100, Google TPUs, or AWS Trainium.
Familiarity with modern provisioning and OS tooling like LinuxBoot and NixOS.
Experience contributing to datacenter automation or fleet management platforms.
Background in large-scale capacity planning and hardware refresh strategy at a hyperscaler.
Exposure to trusted compute and hardware security concepts like secure boot, TPM, and hardware attestation.

Skills and Tools

Python
Rust
Java
Kubernetes
AWS, GCP, and Azure
LinuxBoot and NixOS
Hardware security concepts including secure boot, TPM, and hardware attestation

Salary and Benefits

Competitive compensation and benefits package
Optional equity donation matching
Generous vacation and parental leave policies
Flexible working hours

About the Company

Anthropic focuses on creating reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. Operating as a public benefit corporation, the company brings together researchers, engineers, policy experts, and business leaders to tackle large-scale AI research as an empirical science.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application for this position.

Skills and tech stack

PythonAWSGCPAzureKubernetesJavaRust

Questions candidates ask

What is the primary focus of the Staff Engineer role?

The role focuses on owning the end-to-end operational lifecycle of datacenter servers, from provisioning and maintenance to decommissioning, while implementing trusted compute standards.

Where is this position located?

This position is located in Sydney, Australia, with a location-based hybrid policy requiring time in the office.

What programming languages are required?

Candidates need proficiency in at least one programming language such as Python, Rust, Go, or Java.

Does Anthropic offer visa sponsorship for this role?

Yes, Anthropic does sponsor visas and works with an immigration lawyer to assist candidates receiving an offer.

What hardware experience is preferred?

Preferred qualifications include hands-on experience with GPU or AI accelerator hardware such as NVIDIA A100 or H100, Google TPUs, or AWS Trainium.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site