Systems Engineer

Riva Scientific

. Build security data pipelines, detection engineering systems, or threat intelligence platforms .

Posted 10/12/2026contractRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in building and maintaining security data pipelines, detection engineering systems, and threat intelligence platforms, with strong programming skills in Python and/or Go. Proficient in cloud infrastructure design and operation, utilizing containerization and orchestration tools for efficient development workflows.

Highest-signal resume keywords

Security Data Pipeline DevelopmentGraph-Based Threat Intelligence PlatformsMalware Analysis ToolingCloud Infrastructure DesignLLM-Based Coding Harnesses

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoMalware AnalysisGraph Data ModelingDistributed Data PipelinesMessage QueuesCloud InfrastructureContainerizationOrchestrationData Stores

Tools & Technologies

SynapseMaltegoNeo4jKafkaRabbitMQElasticsearchS3DockerKubernetesCuckoo

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Threat IntelligenceDetection EngineeringCloud ComputingData PipelinesMalware Analysis

Tech Stack

Tools & technologies

AWSAzureCloudDockerElasticSearchGoogle Cloud PlatformKafkaKubernetesNeo4jPythonRabbitMQGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Remote work arrangement