Telematics Backend Engineer – Real-Time Cloud Analytics

InvestedintheMission; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Applied Intuition, Inc. in Sunnyvale, CA is seeking a Software Engineer - Telematics to build scalable backend systems that process real-time telemetry from millions of devices, connecting devices, cloud services, and enterprise systems.

You will implement data pipelines with Kafka/Spark, design cloud storage and analytics solutions, and enable device-to-device communication to reduce latency. Collaboration with data scientists, DevOps, PMs, and frontend developers is essential.

Qualifications

• Backend software development with 4+ years of experience in Go, C++, and Python.
• Experience building cloud-native applications on AWS/Azure/GCP with containers.
• Knowledge of streaming data tech and high-throughput pipelines (Kafka, Spark, MQTT, NATS).
• Familiarity with SQL/NoSQL databases, data warehousing, and time-series data.
• Understanding of RESTful APIs, microservices, and CI/CD practices.

Responsibilities

• Design and develop scalable telematics backend systems for real-time telemetry.
• Architect data pipelines using Kafka, Spark, and stream processing frameworks.
• Develop cloud storage and analytics solutions for monitoring and historical analysis.
• Implement device-to-device communication to reduce latency and improve efficiency.
• Collaborate with data scientists, DevOps, product managers, and frontend developers.
• Advance analytics and ML integration for predictive maintenance and risk analysis.

Skills

Go

C++

Python

Cloud-native development

Tools

Apache Kafka

Apache Spark

MQTT

NATS

WebRTC

gRPC

Job description

Applied Intuition, Inc. in Sunnyvale, CA is seeking a Software Engineer - Telematics to build scalable backend systems that process real-time telemetry from millions of devices, connecting devices, cloud services, and enterprise systems.

You will implement data pipelines with Kafka/Spark, design cloud storage and analytics solutions, and enable device-to-device communication to reduce latency. Collaboration with data scientists, DevOps, PMs, and frontend developers is essential.