Senior Research Engineer, Threat Intelligence

🕒 July 1

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SecurityScorecard

501 - 1000 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $180M Series E on 2021-03

Cybersecurity • Enterprise

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• Own the path from research output to production-ready artifact: a detection rule, a distributed feed, a scoring input, or a customer alert • Partner with adjacent teams to define clean handoff contracts • Build and maintain STRIKE platform components across multiple services and runtimes • Turn research into shipped detection content: YARA, Sigma, STIX patterns, behavioral indicators • Drive STIX 2.1 adoption as a unified output schema and TAXII 2.1 as a distribution standard • Build the automation that removes commodity overhead from research work • Coordinate with engineering, measurement, and platform product teams

🎯 Requirements

• Education: Bachelor's or Master's in Computer Science, Cybersecurity, or a related technical field • Experience: 5 to 8 years in a hands-on engineering role with meaningful exposure to threat intelligence, security research, or detection engineering • Prior experience building production systems that consume or emit threat intel data is required • Technical Skills: Python and TypeScript/Node at a production level • Relational and cache data stores, plus at least one streaming or batch data platform • Cloud infrastructure (AWS preferred), containers, and CI/CD pipelines • Working knowledge of STIX 2.1, TAXII 2.1, MISP, and MITRE ATT&CK, and how they work together in practice • Detection and Research Tooling: Hands-on experience with YARA, Sigma, and STIX Patterning • Applied Language Models: Experience in shipping production systems that use language models • Bridge Mindset: understanding the interplay of research and coding skills

🏖️ Benefits

• Specific to each country, we offer a competitive salary • stock options • Health benefits • unlimited PTO • parental leave • tuition reimbursements • much more!

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