Anthropic

Anthropic

Staff+ Software Engineer, Data Infrastructure

San Francisco, CA | Seattle, WA · Staff+

H1B sponsorship available$405k-$485kDetected 6 days ago
PythonJavaGoDistributed SystemsSQLBigQueryAWSGCPCloud PlatformsKubernetesTerraformSparkAirflowdbtData EngineeringNLPCybersecurityComplianceFinancial AnalysisLogisticsControlsResearchCommunicationCollaboration

About the role

  • 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.
  • This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
  • 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.

Requirements

  • Strong proficiency in programming languages like Python, Go, Java, or similar
  • 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
  • Experience with security and compliance requirements (ITGC, GDPR, financial controls)
  • Experience with Kubernetes, containerization, and cloud-native architectures
  • Track record of improving data reliability, availability, or cost efficiency at scale
  • Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
  • Experience working in fintech, financial services, or highly regulated environments
  • Years of experience required will correlate with the internal job level requirements for the position
  • Have deep experience with at least one of:

Skills

  • 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).
  • Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark.
  • BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran

Compensation

  • $405,000 - $485,000 USD
  • The annual compensation range for this role is listed below.
  • For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Benefits

  • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Company info

  • 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.

Visa & Work Authorization

  • However, we aren't able to successfully sponsor visas for every role and every candidate.
  • But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
  • We do sponsor visas!
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This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.