Senior Software Engineer (UI Fullstack)

About the Team

The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products that elevate how organizations work. We value clean architecture, intuitive user experiences, and a culture of continuous improvement. Every engineer here plays a key role in shaping the quality and reliability of our products.

What you get to do in this role:

• Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
• Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
• Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
• Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
• Integrate automated testing into development workflows to ensure consistent quality across releases.
• Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
• Develop comprehensive test strategies covering functional, regression, integration and performance aspects
• Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
• Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.

To be successful in this role you have:

• 4+ years of experience in software engineering, with a track record of delivering high-quality products.
• Proficiency in Javascript, Java or similar object-oriented languages.
• Experience with modern front-end frameworks such as Angular, React, or Vue.
• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
• Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
• Understanding software quality principles including reliability, observability, and production readiness.
• Ability to troubleshoot complex systems and optimize performance across the stack.
• Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
• Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
• Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving.

Why Join Us

• Build and deliver high-impact software that powers digital experiences for millions of users.
• Collaborate in a culture that values craftsmanship, quality, and innovation.
• Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
• Be part of a culture that encourages innovation, continuous learning, and shared success.