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# Staff+ Software Engineer, Data Infrastructure

- **Company:** Anthropic Limited
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Internship / Graduate position
- **Skills:** Query Performance, Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Audit Trail, Big Data, BigTable, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Computer Programming, Databases, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Loss, Data Systems, Data Warehousing, Disaster Recovery, Distributed Systems, Identity and Access Management, Python (Programming Language), Online Analytical Processing, SQL Databases, Pulumi, Data Processing, Google Cloud, IT General Controls (ITGC), System Availability, Apache Spark, Reliability of Systems, Containerization, Kubernetes, Build Tools, Terraform, Data Pipelines, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_9672628941ff468b184aa3af12513b1e

## About the Role

* 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
 * Can set technical direction for a team, not just execute within it
 * Have deep experience with at least one of:
 * 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, * Experience with security and compliance requirements (ITGC, GDPR, financial controls)
 * Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
 * 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
 * Security engineering background with focus on data protection and access controls, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

## Description

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., * Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
 * Storage: GCS, S3
 * Infrastructure: Terraform, Kubernetes, GCP, AWS
 * Languages: Python, Go, SQL