
Full-Stack Engineer
Posted Aug 21

Posted Aug 21
This is a fully remote position, open to applicants in California.
β’ Take ownership of features from start to finish: define the technical strategy, develop both frontend and backend components, and deploy to production.
β’ Design and uphold reliable, high-performance APIs, data models, and backend services.
β’ Create refined, accessible frontend experiences with a focus on UI/UX aspects.
β’ Develop and integrate AI-driven features, ranging from customized learning experiences to smart compliance tools, transitioning them from prototype to production.
β’ Utilize AI-assisted development tools like Claude Code and Copilot to enhance productivity and facilitate the team's adoption of effective AI solutions.
β’ Implement analytics and leverage data to inform product and engineering choices.
β’ Work closely with product managers, designers, and fellow engineers to achieve significant initiatives.
β’ Detect and address performance bottlenecks, technical debt, and reliability challenges.
β’ Guide other engineers through code reviews, collaborative coding, and architectural advice.
β’ Over 7 years of experience in developing customer-facing web applications using Ruby on Rails.
β’ Proficient in React.
β’ Experience in designing and constructing RESTful APIs and working with relational databases.
β’ Proven experience in managing projects from ideation to production, including making architectural compromises.
β’ A history of elevating team performance through mentorship, code quality enhancement, or process improvements.
β’ Familiarity with CI/CD pipelines, infrastructure-as-code, or cloud platforms (AWS preferred).
β’ Knowledge of responsive design, accessibility standards, and cross-browser compatibility.
β’ Experience with observability tools, including logging, monitoring, and alerting.
β’ Excellent written and verbal communication skills in English.
β’ Availability to work US timezone hours for team collaboration.
β’ Preferred: Experience with integrating LLMs or AI/ML services into production applications.
β’ Preferred: Background in A/B testing, personalization, or data-driven content customization.
β’ Preferred: Experience in a startup or rapidly growing environment.
β’ Preferred: Knowledge of compliance, security awareness, or ed-tech sectors.
β’ Opportunity to work on cutting-edge technologies.
β’ Collaborative and innovative team environment.
β’ Flexible work arrangements.
β’ Professional growth and development opportunities.
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