Staff+ Software Engineer, Anthropic

• Have 8+ years of software engineering experience with 3+ years building data infrastructure, storage systems, or related distributed systems
• Have deep experience with at least one of:
• Cloud data platforms (BigQuery, Redshift, Snowflake) and orchestration tools (Airflow, dbt)
• Access control systems, IAM, authentication/authorization at scale
• Distributed storage systems, object storage (S3, GCS), disaster recovery
• Strong proficiency in programming languages like Python, Go, Java, or similar
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
• Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
• Are comfortable with ambiguity and can independently scope and drive large projects
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work

Desirable

• 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
• Depending on your background and interests, you may focus on areas such as:
• 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

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