Enterprise-Grade Cloud-Based Connected Car Platform Development

The client faces difficulties in scaling their connected car platform development due to limited internal expertise with cutting-edge tech stacks like Vert.x, Kafka, and MongoDB. They seek to expand their engineering capacity internationally while minimizing risks related to technical skill gaps, communication barriers, and workflow synchronization between local and offshore teams. Additionally, ensuring timely, high-quality delivery and maintaining seamless integration across distributed teams are critical concerns.

A rapidly growing automotive technology startup focusing on connected vehicle systems, integrating advanced cloud-based solutions, machine learning, and voice-enabled infotainment to enhance driver experience and partner with OEMs.

• Successfully migrate and optimize backend infrastructure to improve system performance and maintainability.
• Establish a scalable and integrated development environment supporting continuous collaboration between onsite and offshore teams.
• Implement rigorous quality assurance and team stability measures to prevent knowledge loss and ensure consistent delivery timelines.
• Achieve high levels of transparency and communication efficiency through structured processes and single-point communication channels.
• Position the platform to support collaboration with automotive OEMs and enable the company to showcase innovative vehicle technologies to major vendors.

• Migration of existing backend systems from legacy technologies to scalable, high-performance frameworks such as Vert.x and Java.
• Design of microservices architecture supporting real-time data ingestion and processing with Kafka.
• Implementation of a secure, flexible data storage solution using MongoDB or equivalent.
• Development of voicefirst infotainment integration for personalized user experiences.
• Establishment of collaborative workflows including sprint planning, itemized daily Scrums, and onsite workshops to foster team cohesion.
• Deployment of a single point of contact system to streamline communication and reduce bottlenecks.

• Automotive OEM APIs for vehicle data exchange
• Voice recognition platforms for infotainment services
• External analytics and monitoring tools
• Continuous Integration/Continuous Deployment (CI/CD) pipelines

• System scalability to handle expanding vehicle data and user interactions
• High performance with reduced latency to support real-time features
• Robust security measures to protect data privacy and prevent breaches
• System uptime target of 99.9% to ensure reliable service
• Maintainability through code stability and comprehensive documentation

The project aims to enhance backend system performance, enabling the platform to support increased data processing needs and high-quality voice-enabled infotainment. It will facilitate the onboarding of new automotive partners, boost customer satisfaction, and position the company as a leader in connected vehicle solutions. Additionally, effective offshoring and collaborative workflows will lead to timely delivery, high-quality code, and sustained engineering team stability, driving long-term growth and innovation in the connected car industry.