We are seeking a skilled Data Engineer to join our Cybersecurity (Data Systems) product group. As a key member of our team, you'll design, develop, and deploy large-scale data systems that support our cybersecurity products and services. You'll work closely with our team to identify and prioritize project requirements, develop and implement solutions, and ensure our products meet the needs of our operations users and stakeholders.
Key Responsibilities
Design, build, and optimize large-scale data systems for threat detection, investigation, and analysis
Scale data systems to stay ahead of emerging threats and growing data volumes
Develop scalable and high-availability system architecture with CI/CD
Build high-performance microservices and RESTful APIs
Enhance dashboards for system health monitoring and telemetry collection
Stay up-to-date with industry trends and emerging technologies to improve our data systems
Requirements (Minimum Qualifications)
Background in Computer/Electrical Engineering, Computer Science, Data Engineering, or equivalent
1-3 years of experience in Data Engineering
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Proficiency in programming languages such as C, C++, Java, or Python
Nice-to-haves
Advantageous experience/knowledge in:
SIEM tools (e.g., Splunk, ELK stack)
Network IDS tools (e.g., Snort, Suricata)
High-performance, scalable, low-latency networking
Cloud-native technologies (e.g., Kubernetes, Docker)
Microservice and RESTful APIs design and development
DevOps CI/CD tools (e.g., Gitlab CI/CD, Kubernetes, Helm)
