Senior Backend Systems Engineer, Sensing & Connectivity

What you'll do

• Build and maintain production-grade backend systems, signal-processing pipelines, and data infrastructure for sensor data from hundreds of millions of devices.
• Own the ML lifecycle, from problem formulation and feature engineering through model development, experimentation, and production deployment.
• Apply machine learning and data analysis to location-related problems under real-world efficiency requirements.

What they ask for

• Proficiency in Java or equivalent backend languages such as Scala.
• Strong foundation in object-oriented design, distributed systems, and real-time software architecture.
• Master's or PhD in Computer Science or a related field, or a Bachelor's degree with proven experience architecting real production systems at scale.

Nice to have

• Experience architecting and operating high-scale production backend systems; experience with crowdsourced, sensor, or telemetry data systems.
• Comfort implementing complex mathematical or statistical algorithms; familiarity with AI/ML tools and Linux-based development environments.

Pay

USD 142,300–USD 263,300 base salary

Tools

Java, Scala, Linux

AI focus

Applies machine learning to extract intelligence from crowdsourced sensor data and owns the ML lifecycle through production; uses modern AI tools to accelerate development and analysis.