Greenhouse ·
full-timeSecurity Data Engineer
Anthropic · Remote-Friendly (Travel Required) | San Francisco, CA
Anthropic is an AI safety and research company focused on developing reliable, interpretable, and steerable artificial intelligence systems. This Security Data Engineer role sits within the Data Center Security Engineering team, which is responsible for securing the physical infrastructure, hardware, and logistics supporting the company's AI models. The position involves building and maintaining the data pipelines, schemas, and tools necessary to track hardware inventory, maintain chain of custody, and monitor security controls across various data center sites. You will design systems that automate audit evidence collection, manage custody workflows, and calculate security posture to ensure sites meet compliance standards. The role requires a candidate with significant experience in designing production data systems, including relational schemas and streaming pipelines, as well as experience integrating with external vendor APIs and ticketing systems. Because this role involves securing critical infrastructure, the position requires regular travel to data center sites. It is well-suited for a data engineer who enjoys building self-sustaining security tools, managing edge-deployed software, and ensuring high-integrity data quality in complex, multi-source environments.
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 Minimum qualifications 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, finding
| Role | Security Data Engineer |
|---|---|
| Company | Anthropic |
| Location | Remote-Friendly (Travel Required) | San Francisco, CA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-26 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Security Data Engineer at Anthropic: frequently asked questions
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Security Data Engineer position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote-Friendly (Travel Required) | San Francisco, CA as the location.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Security Data Engineer role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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