About the Role:HEROIC Cybersecurity (HEROIC.com) is seeking a senior-level Threat Intelligence Data Engineer
Automated Collection & Dark Web Intelligence to design, build, and operatefully automated intelligence collection systemsthat power our AI-driven cybersecurity and breach intelligence platforms. This role owns theend-to-end discovery, acquisition, and ingestion pipelinefor continuously discovering, crawling, extracting, indexing, and normalizingmillions of new artifacts daily—including documents, chats, forums, leaked datasets, repositories, threat actor communications, hacker marketplaces, unsecured infrastructure, and decentralized networks across thesurface web, deep web, dark web, and anonymized networks. Our Threat Research Team’s mission is aggressive:achieve near-total coverage of global breach and leak data with 99%+ automation. Your work directly enables HEROIC’s ability to identify exposures before they are weaponized. What You Will Do: Automated Intelligence Collection & Discovery
Architect and operatelarge-scale, distributed crawling and discovery systemsacross:
Surface web, deep web, and dark web
Hacker forums, underground marketplaces, and breach communities
Paste sites, code repositories, and social platforms used for breach disclosure
Continuously discover, archive, and download newly released datasets, logs, credentials, and artifacts the moment they appear Dark Web, Anonymized & Decentralized Networks
Build automated collectors and archivers for anonymized and decentralized networks including:
Tor (.onion), I2P, ZeroNet, Freenet, IPFS, GNUnet, Lokinet, Yggdrasil, and similar systems
Posting details
Remote
Yes
Employment type
Full-time
Workplace type
Remote
Source
remotejobsorg
First seen
9/26/2026, 2:10:25 AM
Last seen
9/26/2026, 2:10:25 AM
Design resilient workflows for unreliable, adversarial, or ephemeral data sources
Normalize and index data from non-traditional network protocols and formats Infrastructure & Exposure Discovery
Automate deployment, scaling, and monitoring using Docker, Kubernetes, and cloud infrastructure
Continuously optimize performance, reliability, and cost efficiency of crawler clusters Requirements
Minimum 4 years of hands-on experience indata engineering, intelligence collection, crawling, or distributed data pipelines
Strong Python expertise and experience with frameworks such as Scrapy, Playwright, Selenium, or custom async systems
Proven experience operatinghigh-volume, automated data collection systems in production
Deep understanding of web protocols, HTTP, DOM parsing, and adversarial scraping environments
Experience with asynchronous, concurrent, and distributed architectures
Familiarity with SQL and NoSQL databases (PostgreSQL, MongoDB, Elasticsearch, Cassandra)
Strong Linux/Unix, shell scripting, and Git-based workflows
Experience deploying and operating systems using Docker, Kubernetes, AWS, or GCP
Excellent analytical, debugging, and problem-solving skills
Strong written and verbal communication skills. Preferred / High-Value Experience
Direct experience withdark web intelligence, breach data, OSINT, or threat research
Familiarity with Tor, I2P, underground forums, stealer logs, or credential ecosystems
Experience processing large breach datasets or stealer logs
Background working inadversarial data environments
Exposure to AI/ML-driven intelligence platforms Benefits
Position Type:Full-time - Location:Remote in India.Work from wherever you please! Your home, the beach, our offices, etc.
Compensation:USD 1300-2000 monthly
Professional Growth:Amazing upward mobility in a rapidly expanding company.
Innovative Culture:Be part of a team that leverages AI and cutting-edge technologies. About Us:HEROIC Cybersecurity (HEROIC.com) is building the future of cybersecurity. Unlike traditional cybersecurity solutions, HEROIC takes a predictive and proactive approach to intelligently secure our users before an attack or threat occurs. Our work environment is fast-paced, challenging, and exciting. At HEROIC, you’ll work with a team of passionate, engaged individuals dedicated to intelligently securing the technology of people all over the world.