• Join our engineering team and actively contribute to our core ecommerce platform and integration apps • Work closely with our Product Owner to deliver new features and improvements for platform users • Work on and implement all things Django, including apps, models, templates, and REST APIs • Use Docker and Git to manage applications in your local development environment to run our various Django projects • Leverage Celery for backend task processing and AWS Cloudformation for our fully automated deployments • Write complex apps while maintaining a high level of unit test coverage to prevent feature regression • Perform code reviews and use Gitflow branching model to stay in sync with the engineering team • Follow agile development methodologies (Scrum) to take part in daily standup calls with our 2 week sprint cycles (fully remote via Slack)

• Work across teams to develop sites from scratch or enhance existing websites and software to meet business requirements. • Collaborate effectively with cross-functional teams, including product and design, to define requirements and deliver optimal technology solutions. • Develop, implement, and support features with quality and performance utilizing PHP, MySQL, JavaScript, HTML, and CSS. • Create automated unit, functional, and end-to-end tests to support both feature development and bug fixes. • Provide code recommendations and design optimizations to improve the usability and scalability of the applications and in order maximize performance and adoption. • Familiarity with technical details of owned features and their interactions with other systems.

• Design, develop, and own our primary web applications, including a complex process scheduler (Gantt charts, calendars), and a full-featured invoicing system using React and Next.js. • Create and maintain robust, scalable backend services and APIs that power our front-end applications and data processing needs. • Build and manage ETL pipelines to ingest and structure the data required for our scheduling, invoicing, and machine learning applications. • Collaborate with design and data science teams to take new features from initial concept through to successful deployment. • Write clean, maintainable, and efficient code, taking ownership of the quality and performance of the features, you build. • Actively integrate AI-powered tools into your daily workflow to optimize and speed up tasks such as coding, refactoring, testing, and documentation. • Effectively use Agile practices to plan and track your work. • Be judicious in balancing supporting immediate needs with long-term infrastructure requirements.

• Design, develop, test, and maintain complex codebases with many internal and external dependencies • Work with hardware teams to develop and test software pre- and post-silicon • Coordinate bug fixes that impact various layers of core production software