instructure · Budapest, Hungary
Skills: React, TypeScript, Java, Accessibility
At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: As a Junior Software Engineer on the uLTImates team, you'll ship real features in Canvas, such as document annotations on the web, usage analytics dashboards or AI-powered course search. You'll learn from experienced engineers and work across frontend, backend, and cloud infrastructure. What you’ll do: - Build and improve features in Canvas, from small fixes to full pieces of new functionality, with guidance from senior engineers. - Write clean, tested code on both the frontend and the backend of the services our team owns. - Take part in code reviews. You'll get feedback on your work and review the work of others. - Investigate bugs and production issues, and help fix them using logs, dashboards, and alerts. - Join planning and refinement with product and design, so you understand why we build what we build. - Take part in our team rituals, such as standups and retrospectives. Share what you learn, and grow your skills in web accessibility, cloud infrastructure, security, and quality. What you will need to know/have: - 0-2 years of experience in software engineering. Internships, personal projects, and bootcamps count. - Fluent Hungarian and good working English. - Solid coding fundamentals, including common coding patterns, plus hands-on work with TypeScript and React. - Working knowledge of relational databases, and a basic understanding of document-based databases. - Some knowledge of testing, and experience with Git and code review. - Interest in frontend development and infrastructure, and a habit of asking questions and learning from feed…
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