Threat Intelligence Engineer

Anthropic; Deutschland; Vor Ort; EUR 280.233 - 354.670; Vollzeit

Zusammenfassung

Anthropic is seeking a Threat Intelligence Engineer to join our Threat Intelligence team in a foundational engineering role. You will build infrastructure powering threat discovery, integrating external data sources, and scaling investigators' impact.

You will take projects from PoC to production, work with investigators to meet their needs, and help scale a small, high-impact team capable of evolving into a multi-person function.

Qualifikationen

• Proficient in Python and SQL for building detection logic and data pipelines.
• Experience with data pipeline orchestration tools such as Airflow or DBT.
• Knowledge of IOCs, YARA rules, threat correlation and API integrations.

Aufgaben

• Build automated detection systems using diverse signals to identify abuse.
• Move systems from PoC to production with monitoring and maintenance.
• Develop and maintain YARA rule infrastructure and testing tools.
• Create integrations with external threat intel platforms via MCP servers.
• Build data pipelines ingesting RSS feeds, CTI news, and partner sharing.
• Develop behavioral analytics using DBT-based frameworks and audit logging.
• Establish feedback loops with investigators to tune detections and reduce false positives.
• Scrape and normalize data from external sources to feed workflows.

Kenntnisse

Python

SQL

Data pipelines

Automation

Communication

Ausbildung

Bachelor's degree

Tools

Airflow

DBT

MCP servers

Jobbeschreibung

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

We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.

This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.

Responsibilities:

• Build automated detection systems that use disparate signals to identify abusive behavior.
• Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes.
• Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data.
• Create integrations with external threat intelligence platforms (e.g., VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations.
• Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries.
• Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure.
• Establish feedback loops with investigators to tune detection systems and reduce false positives.
• Scrape and normalize data from external sources to feed threat detection and enrichment workflows.

You may be a good fit if you:

• Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation.
• Have experience with data pipeline orchestration tools (Airflow, DBT, or similar).
• Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques.
• Have experience integrating external APIs and building data ingestion systems.
• Can translate investigator needs and workflows into technical requirements.
• Are comfortable building v0 systems and iterating based on user feedback.
• Have strong communication skills for working closely with non-engineering stakeholders.

Strong candidates may also have:

• Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII).
• Background in cyber threat intelligence, security operations, or abuse detection.
• Experience building MCP servers or similar tool integrations for AI systems.
• Familiarity with web scraping and data extraction at scale.
• Experience with behavioral analytics or anomaly detection systems.
• Understanding of LLM capabilities and how to leverage them for automation.
• A Top Secret Clearance.

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.