Senior Backend Software Engineer

About Volley

Volley Automation is building the future of parking through fully automated robotic parking systems. Our mission is to create sustainable parking solutions that are compact, efficient, and adaptable throughout a building’s lifecycle, while making EV charging easier and more accessible.

Volley’s engineering ecosystem spans complex robotics systems that move vehicles, bay stations that measure vehicle dimensions with 3D lidar scanners, multi‑agent planning software, embedded and real‑time systems, cloud infrastructure, and customer‑facing web and mobile applications. Our technology stack includes AGVs (robots), ROS2, Linux, IoT devices, PLCs, AWS services, and on‑premise deployments and integrations.

Volley is seeking a Senior Backend Software Engineer to support the development and deployment of our automated parking solution. The ideal candidate will be a skilled backend or full‑stack software engineer. You will be building out and leading development on a variety of core systems, including but not limited to garage operational management tools, API development, data pipelines, large‑scale cloud simulations & analytics, user management, etc.

You will be expected to design and architect software, be familiar with and incorporate modern development practices, and be comfortable owning your portions of the system. Overall you should love to build things, find robust, well‑tested and simple solutions to complex technical problems, and want to make a real‑world impact.

• Own the design, implementation, and ongoing improvement of the core backend services that power our software stack, including the garage management system, data pipelines, log management, and user‑facing applications (iOS/Android and our custom kiosk interface).
• Gather requirements, analyze data, and follow trends. Translate that information into technical solutions and rapidly prototype new features across our stack.
• Work closely with hardware and software engineers, operations, and product stakeholders to make sure new functionality meets real‑world needs.
• Build out robust, automated testing for backend services and help to define and improve our broader system testing processes.
• Execute hands‑on development and integration testing on our physical robots and systems in our on‑premises parking experience and at deployment sites in the field.
• Support the integration of new software with our existing hardware and software systems, help troubleshoot issues as they arise, and participate in live demonstrations and pilot deployments at our internal facility and customer sites.

• BS (MS preferred) in CS or related discipline.
• Strong experience developing backend systems, including:
  • Web servers and REST APIs in Python and/or JavaScript, built with modern frameworks (e.g. Django, Flask, Next.js, Express.js)
  • Building, deploying, and scaling web services in the cloud, with familiarity across major cloud platforms and their core infrastructure offerings (e.g., AWS, GCP, Azure).
  • Building and maintaining databases to store operational data (such as robot telemetry, system events, etc.)
• Familiarity with modern software development practices and tooling, including Git and CI/CD pipelines.
• A track record of end‑to‑end ownership and taking projects from early prototype through to fully deployed, monitored production software.
• Eagerness to learn and contribute across the stack (including backend, frontend, testing, and simulation) with a willingness to jump in wherever you're needed most.
• The ability to work at least 3 days per week in the office or out in the field.

• Hands‑on experience working with robotic systems, including developing and integrating software using ROS/ROS2 (Robot Operating System).
• Experience designing and building reliable data pipelines capable of efficiently handling and uploading large volumes of data to cloud storage or databases.
• Familiarity with pub/sub messaging frameworks, particularly MQTT or similar protocols, for real‑time communication between distributed systems or devices.
• Working knowledge of AWS, particularly ECR for container management, S3 for…