Security Data Engineer

Remote-Friendly (Travel Required) | San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Position

Anthropic is seeking a Security Data Engineer to secure our AI systems' data centers and hardware inventory. You will be responsible for ensuring the security of our data centers and hardware footprint, working with teams across the company to implement and maintain security controls.

Responsibilities

• Hardware inventory and chain of custody: Own the component-level record of what hardware exists, where it is, and who has handled it: the data model, the pipelines that join inventory and custody events from many source systems, change history on every record, and the tamper-evident stores behind it.
• Tools, automation, and AI agents: Build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks. When a review keeps costing people time, you build the tool or agent that retires it.
• Custody workflows and field software: Build the workflows and the site and host software that capture custody events as they happen (a receipt, a move, a data wipe, a decommission) and enforce who is authorized to record them.
• Continuous control monitoring and posture: Own the pipelines that turn check outcomes, assessment results, and findings into per-control and per-site measures over time, against the compliance frameworks we and our partners are assessed against, and the posture calculation that decides what a site is cleared to run.
• Data quality: Build coverage checks, reconciliation against sources, and alerts on a silent or drifting feed, so a wrong or missing record is caught the same day; own retention and access controls on the records.
• Integration and reporting: Agree schemas and interfaces with the engineers who run the security monitoring platform, and build the query surfaces and reports the team, site leads, and leadership use directly.

Requirements

• Have designed and run production data systems (relational schemas, change data capture, batch or streaming pipelines, and the services around them) and kept them correct: coverage measured, records reconciled against the source, alerts on silence, and a design that expects records to get corrupted or lost.
• Have integrated with systems you did not control (inventory tools, ticketing systems, vendor APIs) and built data models that outlive any one source.
• Have shipped software that runs outside a central service (host agents, site-local services, edge collectors) and kept it correct in the field, or built metrics a team made decisions on and defended them when challenged.
• Have worked hands-on with data about physical assets or security controls: a hardware fleet, data center or supply chain inventory, asset custody, or the control and evidence data of a security or compliance program.
• Read and review other people's code, and build with AI coding agents using Git and code review.
• Own a domain end to end: set the approach, design, and build it with the teams and vendors whose systems it depends on, and run it as something people use every day.
• Write SQL and at least one general-purpose programming language well.

Preferred Qualifications

• Experience with asset management, supply chain, or warehouse systems where serialized tracking and custody transfer are the core problem.
• Experience building continuous control monitoring or metrics for a security or compliance program, or producing evidence an assessor accepted, for example against NIST SP 800-53, ISO 27001, or SOC 2.
• Experience with risk or posture scoring that combines control results, findings, and other evidence into a measure people make decisions on.
• Familiarity with data center hardware and its lifecycle from receipt to decommission, and with sites and parties you did not control: colocation, cloud or GPU cloud operators, hardware manufacturers, logistics providers.
• Have run software on many hosts or at remote sites with versioned rollout and a way to know each copy is still reporting.
• Have built AI agents or automation that replaced recurring manual work.

Compensation

Annual Salary: $320,000 - $405,000 USD

Logistics

• 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.
• Visa sponsorship: We do sponsor visas! 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 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.

About the Company

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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.

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I understand and agree that both Anthropic and I waive our respective rights to trial by jury in connection with any claims covered by this agreement to arbitrate. Instead, any disputes arising out of or related to my application for employment with Anthropic shall be settled by final and binding arbitration pursuant to the Federal Arbitration Act. I understand and agree that Anthropic’s employees/agents, Anthropic’s clients, and their employees/agents are third-party beneficiaries to this agreement.

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