Job Url: https://www.glassdoor.com/Job/united-states-software-engineer-jobs-SRCH_IL.0,13_IN1_KO14,31.htm?remoteWorkType=1&fromAge=1 Job Description: The Role We’re seeking a talented Fullstack Developer to design, develop, and maintain scalable web applications that power our educational platform. You’ll work closely with our data science and education teams to create intuitive tools that support medical training and competency assessment. Key Responsibilities Design and implement responsive, user-friendly front-end interfaces using Svelte (or Vue, React, or similar frameworks if desired). Develop robust back-end services and APIs using Sveltekit fullstack framework (or NodeJS). Manage and optimize relational databases (PostgreSQL) to ensure data integrity and performance. Collaborate with cross-functional teams to integrate data science models into the platform. Write clean, maintainable, and well-documented code following best practices. (We love to keep things simple and straightforward.) Contribute to system architecture decisions and ensure scalability and reliability. Participate in code reviews, testing, and deployment processes, but without extra bureaucratic process or burdensome extra meetings. What We’re Looking For Friendly and easy to work with. Comfort with working remotely. Experience: 2+ years of professional experience as a Fullstack Developer or similar role. Strong proficiency in NodeJS for back-end development. Experience in Svelte or another modern front-end framework (e.g. Vue, React, Solid). Experience with PostgreSQL or another relational database (e.g., MySQL, MariaDB). Familiarity with RESTful APIs or similar technologies. Knowledge of version control systems (e.g., Git) and CI/CD pipelines. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Passion for education and healthcare technology is a plus! Nice-to-Haves Experience with configuring an application on AWS or other cloud platforms (e.g., Azure, GCP). Understanding of security best practices for web applications. Some knowledge of containerization (e.g., Docker, Kubernetes). Familiarity with data science tools or workflows (e.g., Python, Pandas, Jupyter, PyTorch).