Backend Tech Lead- Fleet Intelligence
About The Position
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. The Fleet Intelligence team sits at the center of Aurora’s mission to deploy safe, commercial-scale autonomous driving. We build the platforms that unify data across vehicles, cloud systems, and operators—turning real-world signals into the insights and capabilities that power autonomy, optimize fleet operations, and accelerate scale. As a Senior Staff Software Engineer, you will set the architectural vision for some of Aurora’s most mission-critical systems. You will lead multi-team initiatives, define long-term technical strategies, and architect platforms that unlock the next generation of autonomous fleet capabilities. Your work will shape not just individual systems but the broader engineering ecosystem across Aurora. In this role, you will: Own the vision, architecture, and technical strategy for foundational backend systems that support real-time fleet operations, autonomy feedback loops, and Aurora’s growing partner ecosystem. Lead and drive cross-organizational technical initiatives, establishing architectural standards and building platforms that scale efficiently as our commercial deployment accelerates. Architect high-throughput services, event-driven systems, and large-scale data ingestion and processing pipelines that underpin autonomy insights, operational intelligence, and system-wide observability. Influence technical planning and strategic direction by partnering with engineering leadership, Product, Autonomy, Cloud Infrastructure, and Operations. Serve as a technical force multiplier: mentoring senior engineers, elevating engineering rigor, and cultivating a culture of excellence, clarity, and impact.
Requirements
- BS, MS, or PhD in Computer Science or equivalent practical experience.
- 12+ years of experience building and operating large-scale backend or distributed systems.
- Deep expertise in microservices architecture, distributed systems, high-throughput data pipelines, API frameworks (gRPC/REST), and cloud-native engineering.
- Significant experience driving solutions through ambiguity, influencing multi-team decisions, and delivering platforms with broad organizational impact.
- Proficiency with Golang, cloud infrastructure, and operational tooling (e.g., AWS, Kubernetes, CI/CD, observability stacks).
- Demonstrated experience mentoring senior engineers and shaping engineering culture.
- Exceptional communication and stakeholder influence skills.
Nice To Haves
- Experience leading multi-team architectural initiatives and defining long-term technical roadmaps.
- Knowledge of autonomous vehicles, robotics, fleet systems, or large-scale real-time data processing.
- Experience with integrating third-party APIs, external data sources, or partner ecosystems.
Responsibilities
- Own the vision, architecture, and technical strategy for foundational backend systems that support real-time fleet operations, autonomy feedback loops, and Aurora’s growing partner ecosystem.
- Lead and drive cross-organizational technical initiatives, establishing architectural standards and building platforms that scale efficiently as our commercial deployment accelerates.
- Architect high-throughput services, event-driven systems, and large-scale data ingestion and processing pipelines that underpin autonomy insights, operational intelligence, and system-wide observability.
- Influence technical planning and strategic direction by partnering with engineering leadership, Product, Autonomy, Cloud Infrastructure, and Operations.
- Serve as a technical force multiplier: mentoring senior engineers, elevating engineering rigor, and cultivating a culture of excellence, clarity, and impact.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
