Systems Engineer

Responsibilities

• Design, build, and maintain static and dynamic file analysis pipelines
• Maintain and optimize YARA rule sets
• Operate and extend threat indicator enrichment systems
• Build and grow threat graph intelligence systems
• Design and maintain dynamic analysis (sandboxing/detonation) capability
• Build ingestion and normalization pipelines
• Instrument pipelines for reliability and observability
• Partner with threat research and detection engineering teams
• Maintain secure handling and isolation practices for malicious samples
• Document architecture, runbooks, and operational procedures

Requirements

• 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 Synapse or other graph-based threat intel platforms (e.g., Maltego, Neo4j)
• Strong programming skills in Python and/or Go
• Working knowledge of static and dynamic malware analysis tooling and pipelines
• Experience with distributed data pipelines and message queues (Kafka, RabbitMQ)
• Familiarity with containerization/orchestration (Docker, Kubernetes)
• Demonstrated experience with cloud infrastructure (AWS, GCP, or Azure)
• Demonstrated use of LLM-based coding harnesses and agent-based development workflows

Preferred Qualifications

• Experience with Synapse, MISP, OpenCTI, or other TIP platforms
• Familiarity with STIX/TAXII
• Experience working with internet-wide scan data
• Open source contributions to security tooling
• CI/CD experience applied to detection content
• Experience with file scanning frameworks (e.g., Assemblyline, FAME)

About the Company

Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.