Senior Data Infrastructure Engineer - AI Research

About the Role

We're hiring a Senior Data Infrastructure Engineer to join our team at Anthropic. This Senior Data Infrastructure Engineer remote position offers the chance to work on building reliable and scalable data systems that support our mission of creating safe and beneficial AI systems. You will be part of a dynamic team that is committed to developing data infrastructure that is secure, privacy-respecting, and optimized for performance.

What You'll Work On

• Design and implement robust access control systems ensuring only authorized users can access sensitive data.
• Build and maintain data pipelines and warehouses powering business-critical reporting.
• Architect disaster recovery, backup, and replication systems for petabyte-scale data.
• Scale data processing infrastructure using technologies like BigQuery, Airflow, and Spark.
• Collaborate with data scientists, analysts, and business stakeholders to drive data-driven decisions.

Requirements

• 8+ years of software engineering experience with 3+ years building data infrastructure.
• Deep experience with cloud data platforms such as BigQuery, Redshift, or Snowflake.
• Strong proficiency in programming languages like Python, Go, or Java.
• Experience with infrastructure-as-code tools like Terraform and cloud platforms like GCP or AWS.
• Excellent collaboration skills and the ability to work with both technical and non-technical stakeholders.

Nice to Have

• Experience with security and compliance requirements (ITGC, GDPR).
• Background in data warehousing or analytics infrastructure.
• Experience with Kubernetes and cloud-native architectures.

What We Offer

• Annual salary range of $405,000—$485,000 USD.
• Location-based hybrid policy with flexible working hours.
• Visa sponsorship and relocation package available.
• Generous vacation and parental leave.
• Collaborative and inclusive work environment.