Software Development Engineer Java + UI - Product Company

Key Responsibilities

Technical Design & Development: Own and lead the end-to-end development of key features or services across backend and frontend. Collaborate with architects and lead to design scalable, reliable, and maintainable systems. Write clean, modular, and testable code following TDD, design patterns, and coding best practices. Ensure seamless integration between backend services and frontend applications. Mentorship & Technical Leadership: Guide and mentor junior and mid-level engineers through code reviews, pair programming, and technical discussions. Champion engineering best practices such as peer reviews, static code analysis, and CI/CD hygiene. Help defi ne coding standards and development workfl ows that align with Jumios quality expectations. Innovation & Tooling: Leverage Large Language Models (LLMs) and AI tools to streamline development and testing workfl ows. Explore and propose new frameworks, libraries, or tooling that can improve team productivity and code quality.

Quality & Performance: Work closely with QA and SRE teams to ensure high performance, availability, and test coverage. Build and maintain automated test suites for functional, integration, and end-to-end testing. Monitor production systems, analyze performance metrics, and proactively address bottlenecks. Cross-Team Collaboration: Partner with Product Managers, Designers, and other engineers to translate business requirements into technical solutions. Participate in sprint planning, estimation, retrospectives, and post-mortems. Contribute to documentation, design specs, and engineering knowledge bases. Skills & Qualifi cations

Must-Have Skills: 7+ years of experience in software development, with strong backend skills (e.g., Java, Spring Boot) and profi ciency in frontend frameworks (e.g., React, Angular). Deep knowledge of RESTful APIs, microservices architecture, and CI/CD pipelines. Hands-on experience with containerization (Docker), version control (Git), and Agile methodologies. Strong problem-solving, debugging, and performance optimization skills. Exposure to or interest in integrating LLMs/AI tools into engineering workfl ows.