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Anthropic NewPosted 8h ago

Security Data Engineer

Location

Remote

Full remote

Contract

Permanent

Full-time

Salary

$320–405k

Gross per year

Experience

Not specified

Job summary

Responsibilities

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.

  • 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…
  • Tools, automation and AI agents: build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks.
  • 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…
  • 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…
  • 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…

What they're looking for

  • 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…
  • 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…
  • 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…
  • Read and review other people's code, and build with AI coding agents using Git and code review

Tech stack

Read the full job posting

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