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Job description

This is a remote position.

We are looking for a talented and experienced Full Stack Engineer to join our team. In this role, you will work building web apps that help with processing and vetting data, to extract meaningful insights and signals from our extensive survey data. You will collaborate closely with Engineers, Data Scientists and Data Analysts. Your experience with React and Ruby will be key to deliver useful features and great UX to help streamline data processing tasks.

Key Responsibilities:

• Frontend Development. Work with stakeholders to implement usable and effective UIs.

• Backend Development. Develop and maintain backend services using modern frameworks.

• Collaboration and Best Practices. Work closely with cross-functional teams to gather requirements, provide estimates, and deliver features.

• Clean code. Write clean, modular, and testable code following industry best practices.

• Effective Testing. Write unit and integration tests to help identify, prevent and resolve issues both in frontend and backend solutions.

• Continuous Improvement. Identify opportunities to improve the performance, maintainability, and scalability of existing systems.

Requirements

Key Qualifications Frontend Skills:

• Experience with React.

• Strong understanding of modern frontend development practices, leveraging component-based architecture and state management.

• Familiarity with CSS-in-JS solutions (e.g., Styled Components, Emotion, Material UI) and CSS fundamentals.

Backend Skills:

• Experience building and maintaining scalable Ruby back-ends.

• Familiarity with database systems (e.g., PostgreSQL, MongoDB).

Nice-to-Have Skills

• Experience or familiarity with Graph Databases like Amazon Neptune, Neo4j, etc.

• Experience or familiarity with Ruby on Rails.

• Familiarity with testing frameworks (e.g., React Testing Library, Jest, Cypress, Playwright) for unit, integration, and end-to-end testing.

• Familiarity with CI/CD pipelines and DevOps tools (e.g., GitHub Actions, Docker, Kubernetes).

• Exposure to cloud platforms such as AWS, Azure, or GCP.

Don’t be put off if you don’t tick every item on our list today, passion and enthusiasm for learning new skills are just as important as what you know already.

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