Senior Full Stack Software Engineer, Aurora Solar

• Academic background or equivalent skills in computer science or a related field, providing a solid foundation for your contributions
• 3+ years of hands-on experience with Python and backend web development (such as Ruby on Rails), showcasing your ability to build robust and scalable systems
• 1+ years of experience crafting engaging user interfaces with JavaScript, TypeScript, and React, demonstrating your full-stack capabilities
• 1+ years of experience with GraphQL
• Familiarity with computer vision & machine learning concepts
• Demonstrated skills in design, development, technical documentation, architecture, build systems, code refactoring, and testing, showcasing your commitment to writing clean, efficient, and well-tested code
• Effective communication skills, including: describing complex concepts in a clear manner, providing concise project updates to the team, providing actionable comments in code reviews
• Effective collaboration skills in pairing with other developers, jointly developing a project proposal, and code reviews
• Strong alignment with Aurora's values and a passion for being a part of the renewable energy revolution

Desirable

• The AI & Data team builds and maintains computer-vision & machine-learning pipelines to automate the design of residential solar systems
• We also manage the satellite imagery and lidar data sources that feed into these pipelines and other areas of the Aurora application
• Ultimately, our work empowers customers to build more solar faster
• We are a tight-knit group that prioritizes mutual respect and shared learning opportunities
• In this role, you’ll provide full-stack development support, focusing on maintaining and improving our machine-learning infrastructure and geographic (“geo”) data services for fast and accurate solar designs
• You’ll collaborate with machine-learning and geo experts, with opportunities to learn and contribute to our computer-vision pipelines
• Maintain and improve backend infrastructure for ML and Geo systems, including evaluation, regression, test coverage, dataset storage & organization, model training & serving, and imagery & 3D data processing
• Develop and deploy intuitive frontend features, and share your expertise by providing guidance on teammates' projects
• Take ownership of team services, including participating in our on-call rotation to ensure our systems are always running smoothly
• Contribute your talents to the development of our cutting-edge machine-learning pipeline, actively participating in code reviews and process improvements that keep us at the forefront of innovation
• Guarantee the reliability of our application through automated tests and debugging
• Power our sustainable energy culture by building tools that make solar design more accurate and accessible, directly contributing to Aurora's mission of a solar-powered future