Staff+ Software Engineer, Data Infrastructure

About the role

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Requirements

• 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems.
• 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.
• 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.
• Excellent collaboration skills - you work well with both technical and non-technical stakeholders.

Qualifications

• Strong Candidates May Also Have 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

Skills

• Programming Languages: Python, Go, SQL
• Infrastructure-as-code: Terraform, Pulumi
• Cloud Platforms: GCP, AWS

Benefits

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. Annual Salary $405,000—$485,000 USD

Pay

Annual Salary $405,000—$485,000 USD

Schedule

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.

Application Instructions

Applications will be reviewed on a rolling basis. The deadline to apply is not specified.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!

Research Guidance

Learn about our policy for using AI in our application process.