Security Data Engineer

Anthropic Limited; San Francisco (CA); Hybride; USD 320 000 - 405 000; Plein temps

Résumé du poste

Anthropic is seeking a DCSE engineer to own the hardware inventory, custody data model, and related pipelines. You will design schemas, build automated tooling, and run continuous monitoring so sites stay compliant and secure.

The role collaborates with operators, vendors, and data center teams in a remote-friendly, travel-heavy capacity. Based in San Francisco with US remote options, you will interface across data center operations, security, and engineering to deliver reliable, auditable

Qualifications

• Bachelor's degree or equivalent required.
• Experience with data center hardware and custody workflows preferred.
• Ability to write SQL and at least one general-purpose language.
• Experience with data models and pipelines is a plus.

Responsabilités

• Own hardware inventory and chain of custody data model and pipelines.
• Build tools and AI agents for reconciliation and custody checks.
• Develop custody workflows and site software for recording events.
• Operate continuous monitoring and posture calculations against standards.
• Ensure data quality, retention, and access controls.
• Design integration points and reporting surfaces for stakeholders.
• Write SQL and at least one general-purpose language.

Connaissances

SQL

General programming

Code review

Git

Formation

Bachelor's degree

Outils

Git

Description du poste

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 role

Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Security at that scale runs on data, and you'll be the engineer who owns it and the systems that produce it: component-level hardware inventory and chain of custody, fed by software that runs at our sites and on hosts, and continuous control monitoring, with the posture calculations that decide what each site is cleared to run.

You set the architecture, agree schemas and interfaces with the teams, operators and vendors that own the sources, build the pipelines, stores and tools, and run what you ship. The goal is security that runs itself: custody, access and evidence verified continuously from records, with tools and AI agents doing the reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well.

You'll work with the rest of DCSE, including the engineers on its security monitoring platform, with Anthropic's compute and data center operations teams, and directly with data center operators, hardware vendors and logistics providers. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure.

Key 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

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

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.

$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.

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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

As set forth in Anthropic's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.