Principal Backend Engineer

About the role

As a Principal Backend Engineer, you will play a pivotal role in scaling our business and shaping the future of transportation. This is not your typical role - your work will sit at the intersection of deep tech and mobility, tackling challenges that have never been solved before. You'll collaborate closely with a dynamic, cross-functional team spanning product, frontend, mobile, electrical engineering, embedded software, and more. Your contributions will power fleet management, dispatch, payments, and real-time APIs that connect drivers and customers seamlessly.

What you'll do

• Design & Develop: Build and maintain scalable Golang-based backend services, APIs, and cloud infrastructure as code - leveraging CI/CD to ensure seamless deployments
• Elevate Engineering Excellence: Contribute to cross-team platform engineering initiatives, shaping shared best practices, tools, and libraries to drive efficiency and innovation
• Build End-to-End Solutions: Work closely with frontend, mobile, and embedded teams to craft seamless, high-impact solutions that directly enhance the customer experience and business operations
• Drive Product & Technical Vision: Collaborate with product and engineering leadership to refine goals, define requirements, and actively contribute to sprint and quarterly planning
• Own Quality & Reliability: Champion clean code, automation, and continuous monitoring, ensuring robustness, scalability, and a world-class developer experience

What you'll need

• Backend Expertise: Hands-on experience developing scalable backend services and APIs, preferably in Golang (experience in Java or Python is also highly relevant)
• Cloud & Distributed Systems: Solid understanding of cloud-native architectures, distributed systems, scalability, and reliability best practices
• Event-Driven Architectures: Familiarity with technologies like Kafka, RabbitMQ, or similar event-driven messaging systems
• DevOps & Infrastructure: Experience with CI/CD, infrastructure as code, and monitoring to ensure robust and maintainable deployments
• Database Proficiency: Strong knowledge of relational databases (e.g., PostgreSQL), with an understanding of data modeling and optimization