• Design, build, and enhance full stack software products • Design and implement testing strategies to validate acceptance criteria • Practice pair programming and test-driven development (TDD) as part of daily engineering work • Establish and maintain CI/CD pipelines, supporting continuous integration, delivery, and deployment • Collaborate with the team on system and application design, selecting the simplest and most effective technical solutions • Participate in iteration planning, ensuring a shared understanding of backlog stories and technical requirements • Actively engage in daily standups, cross-site collaboration, and product team ceremonies • Contribute to and participate in retrospectives, identifying actionable improvements for the team and product • Provide production support for software products • Share knowledge and contribute to the growth of team and organizational engineering practices • Collaborate with other digital product teams and clearly communicate technical designs

• Design, build, and maintain feature-rich, customer-facing web applications from conception to production deployment • Develop responsive, accessible, and highly performant user interfaces utilizing React, TypeScript, and modern JavaScript (ES6+) • Architect, build, and maintain scalable microservices and robust RESTful APIs using Java and Spring Boot • Ensure web applications are optimized for maximum speed, scalability, and reliable performance under high-traffic conditions • Work closely with product managers, designers, and marketing teams to translate product requirements and SEO strategies into technical solutions

• Розробка кросплатформеного desktop-застосунку для роботи з комп’ютерною периферією • Основна задача команди — розробка уніфікованої системи профілів, яка буде використовуватися для всіх застосунків клієнта та дозволить користувачам налаштовувати пристрої й автоматично застосовувати потрібні налаштування залежно від сценарію використання

• Develop and refine strategies for acquiring research data from scientific laboratory instruments. • Engineer and operationalize custom file parsers to handle diverse instrument output formats—including .xlsx, .pdf, .txt, .raw, .fid, and a variety of proprietary vendor binaries. • Architect and implement robust data models, along with scalable data pipelines, comprehensive unit and integration tests, and modular utility libraries. • Perform comparative analysis of datasets generated by similar instruments or workflows to design shared, extensible data model components. • Create visualizations, reports, and interactive dashboards leveraging platforms such as Streamlit, Tableau, Jupyter Notebook, and others.