Sr. Backend Engineer, AutoScaling & Balancing, NG-SIEM (Hybrid)
Core
Design and maintain intelligent auto-scaling, auto-balancing, and customer placement systems for a multi-tenant distributed data platform (LogScale) handling >100 PB/day of security events.
Role type
Senior IC Backend Engineer (Distributed Systems & Control Systems)
Builds
Intelligent placement, auto-balancing, and autoscaling logic for the NG-SIEM data platform
Domain
Cybersecurity / Large-scale Distributed Systems / Data Infrastructure
Deliverable
production ML models
Required skills
Distributed systems design, Auto-scaling algorithms, Auto-balancing strategies, Multi-tenant resource optimization, Real-time data ingestion, Storage internals, Query optimization, Operational reliability, Technical strategy
Preferred skills
Golang, Scala, Cloud environments (AWS/Azure/GCP), Kafka, Log management, Machine learning
Technologies
LogScale, Kafka, Golang, Scala, AWS, Azure, GCP
Responsibilities
Implement intelligent customer placement and bin-packing algorithms, Develop continuous auto-balancing logic for shared infrastructure, Build autoscaling mechanisms based on real-time usage metrics, Analyze data platform internals to inform scaling decisions, Operate systems with high reliability and stability, Lead technical strategy and mentor engineers
