Backend Engineer, Mobility

at  Vay

Vay has developed an alternative approach to autonomous driving called teledriving (remote driving) - to solve transportation in metropolitan areas.
Vay is the first company that has driven a car on European public roads with no one inside. Vay is the leading teledriving company setting the global standard for remotely driven vehicles. Vay aims to launch a safe, affordable, and sustainable door-to-door mobility service in the US, Germany and beyond. With its first service, Vay plans to remotely deliver and return electric cars for its customers.
This is very ambitious. And we can’t do it alone. So we’d love to meet you!
As a Backend Engineer on our Mobility team you will help bring Vay’s remote driving technology to end customers and have a direct impact on scaling our business. Some of the challenges you will face will be unique, born at the intersection of the traditional mobility domain with our deep tech.
Working side by side with product manager, designer and frontend engineers, you will discuss requirements and goals, author and review design documents, design and implement APIs, continuously deploy code and infrastructure to AWS, be responsible for automation and monitoring. You will also have the rare opportunity to work with people from various engineering domains like electrical and data engineering to drive outcomes at the company level.
Above all, you will be crafting magical customer experience by solving problems of fleet and trip state management, dispatch, payments, and more.

• Design and develop Golang-based backend services, APIs and cloud infrastructure as code, incl. CI/CD;
• Contribute to cross-team platform engineering initiatives (shared practices, tools and libraries);
• Work closely with frontend engineers to create elegant solutions with direct impact on the customers and business;
• Collaborate with product management and design to refine product goals and requirements and steer both sprint and quarterly planning;
• Own quality via automation and continuous monitoring;