Senior Threat Intelligence Systems Engineer (Remote)

Remote; San Francisco (CA); À distance; USD 170 000 - 240 000; Plein temps

Résumé du poste

Censys seeks a Systems Engineer to design and operate scalable analysis pipelines and threat intelligence platforms. You will own static/dynamic analysis, YARA tooling, sandboxing, and threat graph modeling, collaborating with researchers to translate requirements into production-grade systems.

Remote role with salary ranges listed for high-cost US areas (e.g., San Francisco, NYC). Expect equity and bonus eligibility as part of a competitive package, with a focus on secure data handling and

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 6+ years building security data pipelines, detection engineering systems, or threat intelligence platforms.
• Experience with graph-based threat intel platforms (e.g., Synapse, Maltego, Neo4j).
• Strong programming skills in Python and/or Go.
• Experience with static and dynamic malware analysis tooling and pipelines.
• Experience with distributed data pipelines and message queues (Kafka, RabbitMQ) and data stores (Elasticsearch, S3).
• Familiarity with containerization/orchestration (Docker, Kubernetes) for isolated execution environments.
• Experience with cloud infrastructure (AWS, GCP, or Azure) designing highly available production-grade systems.
• Experience with LLM-based coding harnesses to accelerate delivery.

Responsabilités

• Design, build, and maintain static and dynamic file analysis pipelines at scale.
• Maintain and optimize YARA rule sets and related tooling.
• Operate and extend threat indicator enrichment systems for real-time metadata extraction.
• Build threat graph intelligence systems modeling relations between indicators, malware, infrastructure, and actors.
• Design and maintain dynamic analysis capabilities including sandboxing and telemetry collection.
• Ingest and normalize pipelines linking internal Censys data with external threat intel feeds.
• Instrument pipelines for reliability and observability (logging, monitoring, SLAs).
• Collaborate with threat research and detection engineering teams to translate needs into scalable systems.
• Maintain secure handling and isolation for malicious samples and analysis environments.
• Document architecture, runbooks, and operational procedures.

Connaissances

Python/Go

Malware analysis

Distributed data pipelines

Containerization

Cloud infrastructure

LLM-assisted development

Formation

Bachelor's degree in CS/Engineering

Outils

Synapse/graph threat intel

Kafka/RabbitMQ

Elasticsearch/S3

Docker/Kubernetes

Cuckoo/CAPE

AWS/GCP/Azure

Description du poste

Censys seeks a Systems Engineer to design and operate scalable analysis pipelines and threat intelligence platforms. You will own static/dynamic analysis, YARA tooling, sandboxing, and threat graph modeling, collaborating with researchers to translate requirements into production-grade systems.

Remote role with salary ranges listed for high-cost US areas (e.g., San Francisco, NYC). Expect equity and bonus eligibility as part of a competitive package, with a focus on secure data handling and