# Software Engineer - Telematics

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Backend Engineering
**Salary:** $183k – $253k/yr
**Experience:** 4+ years
**Skills:** Go, C++, Python, Apache Kafka, Spark, Kubernetes, Docker, AWS, GCP, Mqtt, gRPC, SQL, NoSQL, REST APIs, CI/CD
**Posted:** 2026-04-21

> Develops scalable backend telematics systems to process real-time data from millions of connected devices, using microservices, streaming pipelines with Kafka/Spark, and cloud infrastructure. Requires 4+ years backend experience in Go/C++/Python and expertise in data processing, Kubernetes, and DevOps.

## Job Description

## Responsibilities
- Design and develop scalable robust telematics backend systems that process high-volume, real-time telemetry data streams from millions of connected devices using modern microservices architecture
- Architect and implement robust data processing pipelines using technologies like **Apache Kafka**, **Apache Spark**, and stream processing frameworks to handle telematics data ingestion, transformation, and analytics
- Develop cloud-based data storage and analytics solutions leveraging distributed databases, data warehouses, and time-series databases to support real-time monitoring and historical analysis
- Implement device-to-device (D2D) communication systems that enable direct data exchange between connected devices, reducing latency and improving network efficiency through peer-to-peer connectivity
- Collaborate with cross-functional teams including data scientists, DevOps engineers, product managers, and frontend developers to deliver comprehensive telematics solutions
- Work on advanced analytics and machine learning integration to derive actionable insights from telematics data for predictive maintenance, risk assessment, and behavioral analysis

## Requirements
- **4+ years** of experience in backend software development with strong proficiency in languages like **Go**, **C++**, **Python**, and experience with cloud-native application development
- Experience with cloud platforms and services such as **AWS**, **Azure**, or **Google Cloud Platform**, including containerization with **Docker** and orchestration with **Kubernetes**
- Knowledge of data processing and streaming technologies including **Apache Kafka**, **Apache Spark**, **MQTT**, **NATS**, **WebRTC**, **gRPC**, and experience building high-throughput data pipelines
- Experience with database technologies including both **SQL** and **NoSQL** databases, data warehousing solutions, and time-series databases for handling large-scale telemetry data
- Understanding of **API** design and development with experience in **RESTful** services, microservices architecture, and API security best practices
- Knowledge of **DevOps** practices including **CI/CD** pipelines, infrastructure as code, monitoring, and automated testing frameworks
- Strong problem-solving skills and ability to work in fast-paced cloud development environments with mission-critical, high-availability systems

## Nice to Have
- Experience with real-time data processing and stream analytics platforms for handling continuous telematics data feeds
- Knowledge of cloud security best practices including authentication, authorization, data encryption, and compliance with industry standards
- Familiarity with **IoT** data protocols and experience integrating with various telematics data sources and third-party aggregators
- Experience with monitoring and observability tools for tracking system performance, analyzing API usage patterns, and diagnosing issues in production environments
- Knowledge of data visualization and business intelligence tools for creating dashboards and reports from processed telematics data
- Experience with event-driven architecture and serverless computing for building scalable, cost-effective telematics solutions
- Background in agile development methodologies and experience working in collaborative, cross-functional team environments
- Understanding of automotive or transportation industry standards and experience with fleet management or logistics applications

## Compensation
**Base salary range**: $183,000 - $253,000 annually (plus equity and benefits)

## Similar roles

- [Backend Software Engineer, Applied Foundations](https://hotfix.jobs/jobs/9dc4874b-e1f6-4499-b1e2-5f24ec6643e9) - OpenAI - San Francisco, CA - $185k – $385k/yr
- [Software Engineer, Localization](https://hotfix.jobs/jobs/4bd0ff93-5aa2-4690-99cc-d9fa55b458fc) - OpenAI - San Francisco, CA - $185k – $300k/yr
- [Experienced Software Engineer](https://hotfix.jobs/jobs/4aa12aa2-8c25-49de-87d7-5deedb7058b6) - Stytch - San Francisco, CA - $185k – $225k/yr
- [Experienced Backend Engineer (Product)](https://hotfix.jobs/jobs/aac777b7-d283-42d7-b85a-bf94d56368ee) - Stytch - San Francisco, CA - $185k – $225k/yr
- [Backend Engineer](https://hotfix.jobs/jobs/8c0cdac6-4075-42b1-a874-6e856a68d2ba) - Fathom - AI Notetaker - Remote - $180k – $240k/yr

**Apply:** https://hotfix.jobs/jobs/3fe02f29-ba69-4a71-a15e-680734f374ea
**Canonical:** https://hotfix.jobs/jobs/3fe02f29-ba69-4a71-a15e-680734f374ea