Senior Full Stack Developer

We are looking for a Senior Full Stack Developer to drive the design, development, and delivery of complex, data-driven applications using Java, JavaScript, Angular, React, and Node.js. This role requires strong technical expertise, leadership skills, and the ability to guide teams in implementing best practices for architecture, data engineering, CI/CD, containerization, and cloud deployment. You will ensure scalability, performance, and security across all solutions. Technical Leadership & Architecture Provide technical guidance on Java, Angular, (React is a plus), Node.js. Implement technical solutions on design defined within front end and backend components. Proposed design reviews and ensure alignment with business and dev team. Experience with solution design and architecture is an added advantage. Being able to perform diagnostics on issues inside and outside the codebase. DevOps & Cloud Deployment Being familiar with CI/CD pipelines using Jenkins or similar tools. Deploy and manage applications in cloud environments (Azure). Quality & Performance (nice to have) Implement automated testing frameworks and performance monitoring tools. Ensure applications meet security, scalability, and reliability standards. Team Development Understand new ways of working using AI tools within the team ensuring a high level of quality on the code delivered. Lead workshops to train functionalities within the dev team. Familiar with agile practices and continuous improvement within the team. Technical Skills: 5+ years of experience in software development as Full stack Expert in Java, JavaScript, Angular, React is a plus, and Node.js. Proficiency in Docker, Kubernetes, and containerized deployments. Experience with CI/CD tools (Jenkins, GitLab CI) and automated testing frameworks (JUnit, Selenium, PlayWright). Familiarity with cloud platforms (Azure). Adoption of AI tools, AI agents bring more efficiency to deliver value. Usage of AI within IDE as Claude code, github copilot. Proactively propose news usage / AI tools on our technical environment being open minded. Solid understanding of security best practices, performance optimization, and microservices architecture. Preferred Qualifications: Experience in the insurance or reinsurance domain, especially in analytics system (pricing, treaty) Familiarity with data engineering context would be a plus. Understanding of GDPR and secure data handling practices. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (business + dev team) Ability to work independently and coordinate with distributed teams. Proactive mindset with a focus on automation and continuous improvement.