Software Engineer - Telematics

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)