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Staff Engineer (Datacenter Server Lifecycle)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Engineer (Datacenter Server Lifecycle) (AI infrastructure): Building automation, lifecycle services, and operational tooling for datacenter server fleets supporting frontier model development and serving, with an accent on trusted compute, hardware security, and fleet reliability. Focus on designing provisioning through decommissioning workflows, managing GPU infrastructure, and enforcing verified hardware integrity across large-scale deployments.

Location: Sydney, Australia. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office attendance.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Build automation for datacenter server fleets operating at scale.
  • Own the complete server lifecycle strategy, including provisioning, deployment, operation, maintenance, refresh, and decommissioning.
  • Develop procedures and automation for hardware failures, firmware upgrades, fleet rotations, and other lifecycle events.
  • Partner with Infrastructure Security to define and enforce trusted compute standards, including secure provisioning and end-of-life handling.
  • Collaborate with Networking to ensure connectivity across datacenter sites.
  • Build tooling to track machine health, configuration, and operational status across the fleet.

Requirements

  • Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and failure modes at scale.
  • End-to-end knowledge of hardware lifecycle management, asset tracking, provisioning, maintenance scheduling, and decommissioning.
  • Proficiency in at least one programming language such as Python, Rust, Go, or Java.
  • Working knowledge of cloud infrastructure, Kubernetes, and large-scale cloud providers such as AWS, Azure, or GCP.
  • Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
  • Strong communication skills and the ability to build consensus while solving complex cross-functional problems.

Nice to have

  • 8+ years of experience in datacenter infrastructure management or a related discipline.
  • Experience with GPU or AI accelerator hardware, including NVIDIA A100/H100, Google TPUs, or AWS Trainium.
  • Familiarity with LinuxBoot, NixOS, server operating system deployment, and fleet management platforms.
  • Experience with capacity planning, hardware refresh strategy, or hyperscale cloud infrastructure.
  • Knowledge of trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification.

Culture & Benefits

  • Collaborative work across research, engineering, policy, and business disciplines.
  • Flexible working hours and a collaborative office environment.
  • Competitive compensation with optional equity donation matching.
  • Generous vacation and parental leave.
  • Visa sponsorship is available, subject to role and candidate eligibility. Immigration lawyer support is provided for sponsored hires.

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