Threat Intelligence Engineer, Cloud

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software test engineering, consumer electronics, and internal tool development.
• Experience in research with artificial intelligence (AI), distributed systems, machine learning (ML), data mining, natural language processing (NLP), image classification, spam fighting, or related fields.

Nice to haves:

• Experience in building distributed systems and working within Google production environments, and with Spanner.
• Understanding of network security, threat intelligence, and operational security when dealing with sensitive or dynamic data sources.
• Ability to parse and make sense of messy, unstructured text using a mix of regex, heuristics, and LLM integrations to shape it into clean, and structured data.

What you'll be doing:

• Design, develop, and maintain high-throughput application programming interface (API) to facilitate data ingestion and extraction across the threat intelligence infrastructure.
• Engineer and optimize automated web collection tools and scrapers targeting the dark web, deep web, and messaging platforms to reliably monitor adversary communications.
• Architect data pipelines that ingest noisy, unstructured web content and use applied Machine Learning (ML) or Large Language Models (LLM) to parse, normalize, and shape it into structured intelligence.
• Deploy, scale, and maintain highly available services and pipelines within Google's production environment, and leverage distributed databases.
• Work closely with threat analysts, data scientists, and Google’s internal security teams to turn raw collection capabilities into high-fidelity defensive tools.

Perks and benefits:

• Opportunity to work with cutting-edge technologies.
• Be part of a fast-paced and innovative work environment.
• Work on critical projects for Google Cloud with the chance to switch teams and projects as the business evolves.
• Create solutions that enable growth and solve critical business problems for customers worldwide.