Connected Vehicles

Project Overview

As part of a cloud engineering team, I contributed to the development of a connected vehicle platform responsible for collecting, processing, and exposing telemetry data from vehicles operating worldwide.

The platform enabled vehicle applications, analytics systems, and customer-facing services to access real-time and historical vehicle information through scalable APIs and event-driven data pipelines. The system processed large volumes of sensor data while maintaining high availability, operational reliability, and global scalability.

My responsibilities included backend service development, API design, cloud infrastructure automation, Kubernetes operations, CI/CD enablement, and production support for mission-critical automotive services.

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Key Features

Connected Vehicle Telemetry

Collected and processed vehicle sensor data from connected vehicles operating across multiple regions.

Unified Data Access Layer

Developed GraphQL and REST APIs that exposed vehicle information to internal services, mobile applications, and analytics platforms.

Real-Time Event Processing

Integrated streaming architectures capable of handling continuous telemetry updates and vehicle state changes.

Cloud-Native Platform

Delivered scalable services running on Kubernetes infrastructure with automated deployment and operational monitoring.

Operational Reliability

Provided production support and incident response for critical backend services powering connected vehicle experiences.

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My Contributions

• Developed GraphQL APIs enabling access to vehicle telemetry and connected services data.
• Built backend microservices deployed on AWS Kubernetes infrastructure.
• Integrated vehicle sensor data pipelines and telemetry processing workflows.
• Designed and implemented CI/CD pipelines supporting Java, React, Angular, and Node.js applications.
• Automated infrastructure provisioning using Terraform and containerized deployments with Docker.
• Supported Kubernetes cluster operations and troubleshooting activities.
• Participated in on-call rotations and resolved production incidents affecting critical services.
• Collaborated with platform and analytics teams to enable predictive analytics and telemetry-driven insights.
• Improved deployment reliability and engineering productivity through automation initiatives.

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Technical Highlights

Global Telemetry Platform

Built services capable of collecting and exposing vehicle sensor information from geographically distributed fleets.

API-First Architecture

Developed GraphQL-based services that simplified data access and reduced over-fetching for consuming applications.

Cloud-Native Operations

Deployed and operated containerized workloads on Kubernetes using Infrastructure as Code and automated release pipelines.

Production Engineering

Provided operational ownership through monitoring, incident response, root-cause analysis, and reliability improvements.

Event-Driven Data Processing

Integrated streaming systems that enabled near real-time processing and distribution of vehicle telemetry data.

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Challenges & Solutions

Challenge

Connected vehicle platforms must process large volumes of telemetry data while maintaining low latency, high availability, and operational reliability across globally distributed services.

Solution

Implemented scalable cloud-native architectures, automated deployment pipelines, Kubernetes-based workloads, and event-driven processing mechanisms to support growing telemetry demands.

Outcome

Successfully delivered backend services and platform capabilities that enabled real-time access to vehicle data, improved deployment efficiency, and supported connected vehicle initiatives at scale.

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Technology Stack

Backend Scala, Java

API Layer GraphQL, REST APIs

Cloud AWS EKS, Lambda, DynamoDB, RDS, SQS

Streaming Kafka, Event-Driven Architecture

Infrastructure Docker, Kubernetes, Terraform, Helm

DevOps GitHub Actions, Jenkins, CI/CD Automation

Operations Monitoring, Incident Response, On-Call Support

Domain Connected Vehicles, Telemetry Platforms, IoT, Automotive Cloud Services