Software Engineer - Telematics

Applied Intuition•Mountain View, CA

4d•Onsite

About The Position

As a Software Engineer - Telematics at Applied Intuition, you will be at the forefront of developing cutting-edge telematics platforms that enable seamless communication between devices, cloud services, and enterprise systems. You will work on sophisticated backend systems that combine telecommunications and informatics to process, analyze, and manage multi-modal real-time telemetry data. This role offers the opportunity to contribute to the rapidly growing cloud telematics market, building scalable data processing solutions that handle millions of connected devices and support enterprise-grade analytics platforms.

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 Haves

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

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