The role involves designing and scaling Elasticsearch clusters specifically for ADAS data including camera, radar, and lidar logs
Job Summary
The role involves designing and scaling Elasticsearch clusters specifically for ADAS data including camera, radar, and lidar logs.
Candidates will build robust indexing pipelines for high-volume vehicle telemetry and perception outputs while optimizing for low-latency retrieval.
The position requires ensuring reliability, high availability, disaster recovery, and security compliance across all clusters while mentoring other engineers.
Matching Summary
The role involves designing and scaling Elasticsearch clusters specifically for ADAS data including camera, radar, and lidar logs.
Skills & Requirements
Must-have
Elasticsearch cluster design and scaling
High volume vehicle telemetry indexing
Logstash Beats Kafka Spark ETL development
Kibana Grafana monitoring implementation
HA/DR and security compliance management
Nice-to-have
Mentoring engineers on schema design
Collaboration with ML and perception teams
Defining query SLAs with verification teams
Evangelizing best practices to data consumers
Key Requirements
Experience with Elasticsearch architecture and tuning