Superside - Lead Fullstack Engineer
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Requirements
• 6+ years of full stack development experience, with strong expertise in FE framework. Superside uses React on the FE and Kotlin with Spring Boot on the BE, so these are beneficial. • Strong understanding of software architecture, design patterns, and scalable system development. • Deep knowledge of testing strategies, including unit, functional, and end-to-end testing. You know where, when and how to test a feature. • Ability to solve complex technical challenges creatively and efficiently. • Excellent communication skills with fluency in English (verbal and written) • Self-motivated and autonomous, with a proactive, problem-solving mindset • Excitement for AI-powered product development, with a desire to integrate AI-driven automation into creative workflows. • Proactive use of agentic coding tools as part of your workflow, while always staying accountable and in control of your output and contributions • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Lead the development of secure, scalable features focused on staffing automation, resource management, and complex scheduling interfaces. • Architect and build performant UIs (e.g., interactive timelines, real-time grids) using React, while ensuring the backend logic (Kotlin/Spring) supports them efficiently. • Use agentic coding tools to accelerate boilerplate and refactoring, allowing you to focus on high-leverage architectural decisions. • Collaborate cross-functionally with Product and Design to identify manual staffing workflows and turn them into seamless software experiences. • Enhance system performance through UI optimizations (rendering large datasets) and database improvements. • Drive technical strategy and best practices, specifically regarding how we visualize complex data for our operations team. • Identify repeatable patterns across engagements and help codify them into reusable solutions and platforms.
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