Systems Engineer

Job not on LinkedIn

🔥 15 hours ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 12%

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Logo of Riva Scientific

Riva Scientific

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Riva Scientific is a company that offers innovative solutions in the Life Sciences and Biotechnology sectors, as well as Information Technology services. They provide a comprehensive range of products and services including managed services, strategic consulting, and staffing solutions tailored to the unique challenges faced by Pharmaceuticals and Technology companies. Riva Scientific specializes in laboratory automation, software validation, custom application development, and staffing, helping clients navigate complex regulatory environments and improve operational efficiencies.

📋 Description

• Build security data pipelines, detection engineering systems, or threat intelligence platforms • Work with graph-based threat intelligence platforms and graph data modeling • Develop and operate malware analysis tooling and pipelines • Build and maintain distributed data pipelines, message queues, and data stores • Design and operate highly available cloud infrastructure for critical, production-grade applications • Use LLM-based coding harnesses and agent-based development workflows to accelerate delivery timelines

🎯 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), 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 such as Cuckoo/CAPE, and debuggers • 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

🏖️ Benefits

• Remote work arrangement

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