Staff+ Software Engineer (Data Infrastructure)

Join Anthropic, a leading AI safety and research company, as a Staff+ Software Engineer in Data Infrastructure. In this role, you will design, operate, and scale secure and privacy-respecting systems that power data-driven decisions across the organization. You will work closely with data scientists, analysts, and business stakeholders, tackling diverse challenges related to data governance, financial data infrastructure, cloud storage reliability, and data platform tooling. This position offers a competitive salary, equity packages, comprehensive health benefits, and a flexible work environment.

• 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, ensuring data integrity, accuracy, and availability.
• Architect disaster recovery, backup, and replication systems for petabyte-scale data, ensuring high availability and durability of data stored in cloud object storage.
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
• Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
• Strong proficiency in programming languages like Python, Go, Java, or similar
• Have deep experience with at least one of:
• Can set technical direction for a team, not just execute within it
• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
• Track record of improving data reliability, availability, or cost efficiency at scale
• Security engineering background with focus on data protection and access controls
• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
• Experience working in fintech, financial services, or highly regulated environments
• Experience with Kubernetes, containerization, and cloud-native architectures
• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• Experience with security and compliance requirements (ITGC, GDPR, financial controls)
• We encourage you to apply even if you do not believe you meet every single qualification