This is a fully remote position, open to applicants in United States.

📋 Description

• Create security data pipelines, detection engineering frameworks, or threat intelligence systems.

• Collaborate with graph-based threat intelligence systems and engage in graph data modeling.

• Design and manage malware analysis tools and associated pipelines.

• Construct and oversee distributed data pipelines, message queues, and data storage solutions.

• Architect and manage highly available cloud infrastructure for essential, production-level applications.

• Leverage LLM-based coding tools and agent-based development processes to enhance delivery timelines.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a comparable practical background.

• Over 6 years of experience in developing security data pipelines, detection engineering frameworks, or threat intelligence systems.

• Proficiency with Synapse or other graph-based threat intelligence platforms (e.g., Maltego, Neo4j), including graph data modeling expertise.

• Strong programming proficiency in Python and/or Go.

• Familiarity with both static and dynamic malware analysis tools and pipelines, including disassemblers, sandboxes like Cuckoo/CAPE, and debuggers.

• Experience with distributed data pipelines and message queues (Kafka, RabbitMQ) as well as data storage solutions (Elasticsearch, S3, etc.).

• Knowledge of containerization/orchestration technologies (Docker, Kubernetes) for creating isolated execution environments.

• Proven experience with cloud infrastructure (AWS, GCP, or Azure) in designing and managing highly available systems for critical, production-level applications.

• Demonstrated use of LLM-based coding tools and agent-based development workflows (e.g., Claude Code, Copilot, or similar) to expedite delivery timelines.