In this role, you will:
- Architect and evolve Maestro's distributed systems to support scaling autonomous fleet operations
- Drive technical strategy and make key architectural decisions for the fleet management platform
- Lead design and implementation of high-availability, real-time scheduling and dispatch systems
- Partner with product, operations, and other engineering teams to define technical roadmap
- Mentor and provide technical leadership to a team of senior engineers
- Establish best practices for system reliability, performance, and operational excellence
- Drive cross-team initiatives to integrate Maestro with vehicle systems, customer apps, and operations tools
Required Skills & Experience:
- BS/MS in Computer Science or a related field
- 15+ years of software engineering experience, with 7+ years building large-scale distributed systems
- Deep expertise in distributed systems design, soft real-time processing, and scalable architectures
- Proficiency in Kotlin, Go, Java, or similar languages for backend development
- Experience with event-driven architectures and message queuing systems
- Track record of leading complex technical initiatives across multiple teams
- Experience with cloud infrastructure (AWS preferred) and microservices architecture
- Strong understanding of system reliability, monitoring, and operational concerns
- Excellent communication skills and ability to influence technical direction
Preferred Qualifications:
- Experience with fleet management, logistics, or routing systems
- Background in optimization algorithms, scheduling, or constraint satisfaction problems
- Knowledge of autonomous vehicle systems and their operational requirements
- Experience with soft real-time scheduling and dispatch systems
- Track record of mentoring senior engineers and growing technical teams
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