Telematics Backend Engineer — Real-Time Cloud Data

Applied Intuition Inc.; Sunnyvale (CA); On-site; USD 183,000 - 253,000; Full time

Job summary

Applied Intuition, Inc. in Sunnyvale, CA is seeking a Software Engineer - Telematics to design scalable backend systems that process real-time telemetry from millions of devices, with microservices, Kafka and Spark, and cloud integration.

You will collaborate with data scientists, DevOps, and product teams in an in-office role with flexible scheduling. The base salary ranges from $183,000 to $253,000 per year, plus equity and benefits.

Qualifications

• 4+ years backend software development experience with Go, C++, Python
• Cloud platforms: AWS/Azure/GCP; Docker and Kubernetes experience
• Experience with data processing/streaming: Kafka, Spark, MQTT, NATS, WebRTC, gRPC
• Knowledge of SQL and NoSQL databases, data warehousing, time-series databases
• RESTful services, microservices architecture, API security best practices
• CI/CD, IaC, monitoring, automated testing in DevOps environments

Responsibilities

• Design and develop scalable telematics backend systems for high-volume telemetry data
• Build data processing pipelines using Kafka, Spark, and streaming frameworks
• Develop cloud storage and analytics solutions for real-time monitoring and historical analysis
• Implement device-to-device communication for low-latency data exchange
• Collaborate with data scientists, DevOps, product managers, and frontend developers
• Work with analytics and ML integration to derive insights for maintenance and risk analysis

Skills

Backend development

Go

C++

Python

Cloud platforms

Docker

Kubernetes

Kafka

Spark

MQTT

NATS

WebRTC

gRPC

SQL databases

NoSQL databases

RESTful APIs

Microservices

Job description

Applied Intuition, Inc. in Sunnyvale, CA is seeking a Software Engineer - Telematics to design scalable backend systems that process real-time telemetry from millions of devices, with microservices, Kafka and Spark, and cloud integration.

You will collaborate with data scientists, DevOps, and product teams in an in-office role with flexible scheduling. The base salary ranges from $183,000 to $253,000 per year, plus equity and benefits.