The Role
Designs and operates security data pipelines, detection engineering systems, and threat intelligence platforms. Responsibilities include graph data modeling, malware analysis tooling, distributed pipelines, message queues, data stores, containerized execution environments, and highly available cloud infrastructure. The role also uses LLM-based coding harnesses and agentic development workflows to accelerate production delivery.
Summary Generated by Built In
This is a remote position.
Position: Systems Engineer
Location: Remote
Experience: 6+ years
- 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), including graph data modeling
- Strong programming skills in Python and/or Go
- Working knowledge of static and dynamic malware analysis (disassemblers, sandboxes such as Cuckoo/CAPE, debuggers) tooling and pipelines
- Experience with distributed data pipelines and message queues (Kafka, RabbitMQ) and data stores (Elasticsearch, S3, etc.)
- Familiarity with containerization/orchestration (Docker, Kubernetes) for isolated execution environments
- Demonstrated experience with cloud infrastructure (AWS, GCP, or Azure) designing and operating highly-available systems for critical, production-grade applications
- Demonstrated use of LLM-based coding harnesses and agent-based development workflows (e.g., Claude Code, Copilot, or similar) to accelerate delivery timelines
Skills Required
- 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 graph-based threat intelligence platforms such as Maltego or Neo4j, including graph data modeling
- Strong programming skills in Python and/or Go
- Working knowledge of static and dynamic malware analysis tooling and pipelines, including disassemblers, sandboxes, and debuggers
- Experience with distributed data pipelines, message queues, and data stores such as Kafka, RabbitMQ, Elasticsearch, and S3
- Familiarity with Docker and Kubernetes for isolated execution environments
- Experience designing and operating highly available, production-grade cloud systems on AWS, GCP, or Azure
- Demonstrated use of LLM-based coding harnesses and agent-based development workflows such as Claude Code or Copilot
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The Company
What We Do
Riva Scientific provides software solutions, validated systems, managed services, strategic consulting, and staffing for life sciences, pharmaceutical, biotech, chemical, and technology organizations. Its services include systems implementation, custom application and data-intelligence development, computer-system validation, testing, regulatory compliance assessments, remediation, business analysis, project management, auditing, and team augmentation, helping clients automate operations and meet requirements such as FDA GMP and 21 CFR Part 11.
