How to apply for Staff+ Software Engineer, Data Infrastructure

About Anthropic

Anthropic is a frontier AI research and product company working on alignment, policy, and security. It posts specific opportunities it considers high impact, and it explicitly notes that it does not necessarily recommend working at other positions at Anthropic. Candidates should read Anthropic's own linked concerns about doing harm by working at a frontier AI company before applying.

About the role

This role sits in Data Infrastructure, which designs, operates, and scales secure, privacy-respecting systems for data processing, storage, and access across Anthropic. You may be matched to areas such as Data Governance & Access Control, building access control, permission management, audit logging, compliance infrastructure, IAM policies, and ACLs that scale across thousands of users. The work spans financial reporting pipelines, access control systems, and cloud storage reliability, done in direct collaboration with data scientists, analysts, and business stakeholders.

A typical day

A typical day likely involves working on access control or data pipeline infrastructure alongside data scientists, analysts, and business stakeholders. You would spend time on cloud infrastructure primitives, reliability issues, and permission or audit requirements. The exact split between building, operating, and meeting with stakeholders is not described in the posting, so ask about it in interviews.

Who Anthropic is looking for

• Has staff-plus level experience building and operating data infrastructure at scale, including storage, processing, and access layers.
• Has hands-on depth with cloud infrastructure primitives and can work close to the metal on reliability, not just abstraction layers.
• Has built access control or governance systems: IAM policies, ACLs, permission management, audit logging, and compliance controls.
• Is comfortable working directly with data scientists, analysts, and business stakeholders on requirements that range from financial reporting to security.

Tips for this application

• Read Anthropic's linked 80,000 Hours piece on concerns about working at a frontier AI lab before you write anything. Address your reasoning briefly and honestly in your application; this company expects candidates to have thought about it.
• Note that Anthropic posts specific opportunities and does not necessarily recommend other roles there. Apply to this Data Infrastructure role specifically, not as a generalist application to Anthropic.
• Frame your experience around the named sub-areas: access control, permission management, audit logging, compliance, IAM policies, ACLs, and cloud storage reliability. Use their vocabulary where it matches your actual work.
• Show scale with numbers: how many users, how many datasets, what data volume, what uptime. The role explicitly mentions systems that scale across thousands of users.
• Explain how you have worked with data scientists, analysts, and business stakeholders, since the role involves direct collaboration with those groups rather than only backend engineering.

What to cover in your cover letter

['One concrete example of an access control or governance system you designed or operated, including the compliance or audit requirements it satisfied.', 'One example of scaling data infrastructure across thousands of users or a comparable scale, with the specific cloud primitives involved.', 'How you handle the tension between making data fast and easy to use versus keeping it secure and privacy-respecting.', 'Your reasoning about working at a frontier AI company, referencing the concerns Anthropic itself links to, and why you want this specific team.']

Research before applying

• Anthropic's mission statement and its work on alignment, policy, and security, since the company describes itself this way and expects candidates to know it.
• The linked 80,000 Hours career review on working at an AI lab, because Anthropic surfaces it directly and expects candidates to engage with it.
• Anthropic's public positions on safety and how a data infrastructure team would support or interact with that work.
• The specific business areas named in the posting, such as financial reporting pipelines and compliance, to understand what Data Infra actually supports.

Likely interview topics

Based on the job description, expect questions about:

• How you would design access control and permission management for sensitive data across thousands of users, including IAM policies and ACLs.
• How you would build audit logging and compliance infrastructure that satisfies both internal and external requirements.
• A walkthrough of a data pipeline you built or operated, including how you handled reliability and cloud storage issues.
• How you have worked with data scientists, analysts, and business stakeholders to turn requirements into infrastructure.
• Your view on privacy-respecting data systems and how that shapes design decisions in a frontier AI company.

Common mistakes to avoid

• Applying as a generalist to Anthropic without addressing this specific Data Infrastructure role and its named sub-areas.
• Ignoring the ethical concerns Anthropic itself links to. Skipping that step signals you have not read the posting carefully.
• Describing data infrastructure only in terms of tooling, without showing how you handled access control, compliance, or scale across thousands of users.