Software Engineer - Telematics

About the role

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.

At Applied Intuition, you will:

• 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

We're looking for someone who has:

• 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 at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $183,000 - $253,000 annually.