Staff+ Software Engineer (Data Infrastructure)

• Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use
• We’re looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You’ll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability
• This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives
• Within Data Infra, you may be matched to critical business areas including:
• Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems
• Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics
• Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery
• Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization
• Technologies We Use:
• Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
• Storage: GCS, S3
• Infrastructure: Terraform, Kubernetes, GCP, AWS
• Languages: Python, Go, SQL

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

• Have deep experience with at least one of:
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
• Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
• 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
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
• Strong proficiency in programming languages like Python, Go, Java, or similar
• 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
• Security engineering background with focus on data protection and access controls
• Experience with Kubernetes, containerization, and cloud-native architectures
• Experience with security and compliance requirements (ITGC, GDPR, financial controls)
• Track record of improving data reliability, availability, or cost efficiency at scale
• Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience
• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
• We encourage you to apply even if you do not believe you meet every single qualification
• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
• Experience working in fintech, financial services, or highly regulated environments

• Deadline to apply: None. Applications will be reviewed on a rolling basis