Staff Engineer — Secure, Scalable Datacenter Automation

Anthropic; Sydney; Hybrid; AUD 180,000 - 280,000; Full time

Job summary

Anthropic Limited in Sydney is seeking a Staff Engineer for the Datacenter Server Lifecycle. You will own provisioning, operation, maintenance, and decommissioning of datacenter machines, driving automation and scalable processes for a global AI workload.

You will work closely with Infrastructure Security and Networking to implement trusted compute standards, improve efficiency, and support frontier model development at scale in a fast-moving, security-conscious environment.

Qualifications

• Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and failure modes at scale.
• End-to-end hardware lifecycle management: provisioning workflows, maintenance scheduling, and decommissioning practices.
• Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
• Ability to communicate clearly and build consensus with a wide range of stakeholders.
• Comfort navigating ambiguity and making progress on complex, cross-functional problems.

Responsibilities

• Build automation to support datacenter fleets at scale.
• Define and own the end-to-end system lifecycle strategy – provisioning, deployment, operation, maintenance, refresh, and decommissioning; maintain automation and procedures for common lifecycle events.
• Partner with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
• Work with the Networking team to ensure end-to-end connectivity across all sites.
• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

Skills

Server hardware

Hardware lifecycle

Programming languages

Cloud infra

Communication

Ambiguity tolerance

Education

Bachelor's degree

Tools

Kubernetes

AWS

Azure

GCP

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.

This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Key Responsibilities

• Build automation to support datacenter fleets at scale.
• Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
• Work closely with our Networking team to ensure end-to-end connectivity across all sites.
• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

Minimum Qualifications

• Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
• End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
• Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
• Ability to communicate clearly and build consensus with a wide range of stakeholders.
• Comfort navigating ambiguity and making progress on complex, cross-functional problems.

Preferred Qualifications

• 8+ years of experience in datacenter infrastructure management, or a closely related discipline.
• Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
• Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS
• Experience building or contributing to datacenter automation or fleet management platforms.
• Experience building and deploying server operating system distributions across large server fleets.
• Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.