Full-Stack Software Engineer, Internal Services

• Build, test and maintain internal web services to augment Software and QA teams.
• Partner with Software teams and QA to identify the biggest opportunities for optimization of their daily workflow.
• Drive certain subsets of identified technical problems and/or for certain internal products that Software Engineers will be using.
• Design, implement, and test new solutions while maintaining and supporting existing ones.
• Participate in fleet software lifecycle management OTA updates, configuration management, feature flags.
• Develop tools for easier discovery of valuable data, with an ability to plug it into other parts of the ecosystem: introspection, ML training, regression tests, etc.
• Contribute to the Software team processes, such as releases, development and feature testing, and create tools that help make those processes more efficient.

This role helps scale robotic deliveries from surprising novelty to efficient ubiquity by building internal tools that automate and streamline daily work for software engineers, QA specialists, and operations, ultimately supporting the company's mission to reimagine how things move in cities and benefit local businesses.

• 5+ years of web service development experience, with both frontend and backend development experience.
• 3+ years experience with Python, Elixir and/or Typescript for web development.
• 1+ years experience with Observability Engineering.
• First-hand familiarity with Continuous Delivery and shipping products with fast iterations.
• Experience building and maintaining development tools for yourself and other teams.
• Experience being your own project’s product manager: working with your customers, coming up with requirements and KPIs and driving those.

Base salary range (U.S. – all locations): $130k - $165k USD. The company is open to qualified talent working remotely across the United States.

Serve Robotics is reimagining how things move in cities with personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The team consists of tech industry veterans solving real-world problems using robotics, machine learning, and computer vision.