Staff Software Engineer, Cloud Microservices

Role Overview
As Staff Software Engineer for our Vehicle Operations and Cloud Intelligence Platform, you'll design and oversee the system built on bi-directional cloud communication with our entire fleet. You'll develop systems that automate vehicle lifecycle management through cloud-based orchestration together with on-vehicle agents, optimize telemetry collection, and enable predictive health monitoring to provide new-age vehicle owner experience, while also reducing operational costs.

You will deliver external-facing Fleet APIs that scale from today’s tens of thousands of vehicles to over 1M in the next five years. You will lead the development of ML-aware Rule Engine Platform that lets teams author and deploy health, security, and service rules to edge or cloud at fleet scale, turning raw signals into real-time health, security, and diagnostics decisions.

Key Responsibilities
• Design and lead development of resilient cloud microservices built around bi-directional vehicle-cloud communication, orchestrating operations across the entire fleet lifecycle while ensuring high availability and performance at scale
• Design scalable architecture for processing high-volume telemetry through multi-cluster real-time MongoDB pipelines, and partner with Data Engineering team on Big Data technologies for efficient processing and analysis in the analytical pipeline
• Develop intelligent vehicle segmentation and sampling strategies to optimize telemetry ROI while minimizing costs
• Co-design in-vehicle agents that integrate with cloud-based orchestration systems
• Create an ML-aware rule engine for deploying health, security, and service rules across edge and cloud environments
• Build external-facing Fleet APIs that scale from tens of thousands to 1M+ vehicles
• Partner with cross-functional teams across vehicle lifecycle

Required Qualifications
• 8+ years of software engineering experience with 3+ years in architecture roles
• Proficient in Go, Java, or Python with microservices experience using gRPC, Protocol Buffers, and REST APIs
• Experience with containerized applications, Kubernetes, and CI/CD pipelines
• Expert knowledge of MongoDB at scale, including change streams and multi-cloud geo-sharded deployments
• Expert knowledge of real-time event processing systems, including MQTT protocol for vehicle-cloud communication, and NATS and Kafka for cloud-side event processing
• Experience with rule engines and decision systems for IoT applications
• Track record designing, developing APIs for high-scale, long-lived systems
• Excellent cross-functional collaboration and communication skills

Preferred Qualifications
• Experience with automotive telemetry, or IoT or connected vehicle platforms
Knowledge of EV architectures and vehicle control units
• Background in predictive maintenance or health monitoring systems
• Experience optimizing telecom costs for IoT deployments
• Familiarity with ML integration into operational systems
• Understanding of edge vs. cloud processing tradeoffs