Senior Data Infrastructure Engineer — Scale Secure Data

Anthropic Limited; San Francisco (CA); Híbrido; USD 405 000 - 485 000; Tempo integral

Resumo da oferta

Anthropic Limited is seeking an Infrastructure Engineer to design and operate scalable, secure data infrastructure. The role collaborates with data scientists, analysts, and business stakeholders to ensure reliable data processing, storage, and access across cloud environments.

You will tackle governance, pipelines, and cost-efficient infrastructure at scale. The ideal candidate has deep experience in data systems and cloud-native architectures, with strong programming skills and leadership

Qualificações

• 10+ years of experience building data infrastructure or related distributed systems
• 3+ years of experience leading large-scale projects or teams as an engineer or tech lead
• Strong programming skills in Python, Go, Java, or similar
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)

Responsabilidades

• Data Governance & Access Control: design and implement access controls for sensitive data and audit logging.
• Financial Data Infrastructure: build data pipelines and warehouses powering reporting and revenue metrics.
• Cloud Storage & Reliability: design disaster recovery, backup, and replication for petabyte-scale data in cloud storage.
• Data Platform & Tooling: scale data processing infrastructure with tools like BigQuery, Spark, and Airflow.

Conhecimentos

Python

Go

Java

Distributed systems

Formação académica

Bachelor's degree in a relevant field

Ferramentas

Terraform

Pulumi

Kubernetes

Cloud platforms (GCP/AWS)

Descrição da oferta de emprego

Anthropic Limited is seeking an Infrastructure Engineer to design and operate scalable, secure data infrastructure. The role collaborates with data scientists, analysts, and business stakeholders to ensure reliable data processing, storage, and access across cloud environments.

You will tackle governance, pipelines, and cost-efficient infrastructure at scale. The ideal candidate has deep experience in data systems and cloud-native architectures, with strong programming skills and leadership