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Job Description
Anthropic is seeking talented and experienced Infrastructure Engineers to join their team and support the development, scaling, and maintenance of their cutting-edge AI systems. This role offers the opportunity to work on groundbreaking AI technologies and contribute to the development of frontier models, supporting Anthropic's mission to create safe and reliable AI systems that benefit humanity.

The Infrastructure team is divided into multiple teams, and placement occurs after the interview process, taking into account the candidate's interests and experience alongside organizational needs. This flexible approach allows Anthropic to match talented engineers with the infrastructure teams where they'll have the greatest impact and growth potential.

Role involves:
  • Leading build out of industry-leading AI clusters.
  • Consulting with different stakeholders to deeply understand infrastructure, data and compute needs.
  • Setting technical strategy and oversee development of high scale, reliable infrastructure systems.
  • Mentoring top technical talent.
  • Designing processes that help the team operate effectively.

Requirements:
  • 8+ years of relevant industry experience, 3+ years leading large scale, complex projects or teams as an engineer or tech lead.
  • Obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement.
  • Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java).
  • Strong problem-solving skills and ability to work independently.
  • Passion for supporting internal partners like research to understand their needs.
  • Excellent communication skills to build consensus with stakeholders, both internally and externally.
  • Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP.

Anthropic offers:
  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • A lovely office space in which to collaborate with colleagues.
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