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loveholidays ищет опытного frontend-инженера для повышения производительности и доступности веб-платформы. Роль ориентирована на развитие систем дизайна и инструментов разработки, а также на тесное взаимодействие с командами продукта и дизайна.
Требуется глубокий опыт в современном frontend-фреймворке, TypeScript и CSS, способность диагностировать узкие места и внедрять лучшие практики CI/CD. Возможности для работы с инфраструктурой через Terraform и участие в крупных проектах по оптимизации
loveholidays is an online travel agency that helps customers discover, book and experience holidays. Its technology processes holiday offers and supports the company’s European expansion.
Build platforms that enable strong web performance and accessibility by default, giving product teams the foundations to deliver fast, inclusive customer experiences Evolve the design system to help engineers, designers and AI agents deliver consistent, high-quality experiences Improve developer experience and reliability through faster builds, actionable error reporting and tools that make systems easier to develop and operate Own problems from discovery through delivery, working directly with internal customers to identify priorities and validate that solutions meet their needs
Strong frontend engineering and performance skills, with deep experience in a modern frontend framework, TypeScript and CSS Ability to diagnose performance bottlenecks and measure how architectural and implementation changes affect Core Web Vitals and real-world performance Experience building and maintaining robust, reusable design systems and developer tooling, including governance, compatibility, documentation and migration paths Experience embedding automated accessibility checks into component tests and CI, preventing regressions, and complementing automation with keyboard and assistive technology testing Experience operating production infrastructure through infrastructure as code tools such as Terraform, with attention to safe changes, observability and reliability Understanding of how clear interfaces, reusable capabilities, machine-readable context and automated validation help AI agents work reliably within defined constraints Comfortable with ambiguous problems, challenging proposed solutions, weighing trade-offs, and using research, adoption metrics and performance data to guide decisions