Communications Engineer, Production Network Performance, Amazon Leo
Core
Build automated data pipelines to monitor live satellite network performance against simulations, detect anomalies, and drive resolution for Amazon Leo's low-latency broadband constellation.
Role type
Senior data engineering and network performance engineer
Builds
Automated data pipelines, anomaly detection systems, and performance analysis frameworks for a satellite network
Domain
Satellite communications, network performance, data engineering
Deliverable
production ML models
Required skills
Data pipeline development, SQL, Python, C++, MATLAB, telemetry analysis, statistical change detection, root cause analysis, version control, testing
Preferred skills
Satellite system operations, RF and link performance, AI/ML automation, data lakes (Athena, Spark, Redshift), systems integration
Technologies
Python, C++, MATLAB, SQL, Athena, Spark, Redshift
Responsibilities
Build and maintain automated pipelines joining live system data with simulation predictions; Develop statistical methods to detect performance changes; Trace root causes of network issues across RF, software, and hardware; Integrate simulation models into the analysis framework; Build databases of anomaly signatures; Collaborate with cross-functional teams on satellite and gateway performance
Seniority
Senior, hands-on IC