• Build and maintain tools for developing and testing Java services and system packages on the JVM. • Further enrich and streamline the Java developer experience, including debugging, profiling, and code optimization utilities. • Collaborate with team members and engineers across the company to design elegant systems. • Creating and maintaining standards and libraries to facilitate robust communication between services. • Articulate a technical vision and execute it. • Learn from, and work closely with, more experienced engineers, sharing skills and knowledge as you grow in your role.

• Develop tailored software solutions for mid-sized clients (mostly greenfield projects) • Frontend development: React (Next.js) or Angular • Backend development: Node.js (TypeScript + Nest.js) • AI integration with Azure OpenAI and prompt engineering • 'You build it, you run it': Implement CI/CD pipelines with Bitbucket Pipelines and handle deployments with Docker • Code reviews and documentation: Ensure code quality and maintainability through peer reviews and detailed documentation • Use Claude Code CLI to increase efficiency • Coordinate with team members and clients and work independently

• Develop and maintain web applications using Laravel and Vue.js • Build clean, reusable APIs and frontend components • Integrate AI APIs (OpenAI / similar) where required • Use AI coding assistants (ChatGPT, Copilot, Cursor, etc.) to speed up development • Deploy, monitor, and maintain applications on AWS • Work with Git-based workflows (PRs, reviews, branches) • Optimize performance, security, and scalability • Collaborate with product, QA, and design teams remotely

• Lead the design, development, and deployment of scalable backend services using Node.js and TypeScript. • Own system architecture decisions, ensuring high performance, reliability, and maintainability across services. • Design and maintain robust APIs (REST/GraphQL), focusing on scalability, security, and clear contract definitions. • Optimize SQL and NoSQL databases for high-load, production environments. • Manage cloud infrastructure on AWS and work with Docker and Kubernetes. • Implement best practices in testing, performance, observability, and security. • Collaborate closely with product, engineering, and business stakeholders to translate complex requirements into technical solutions. • Identify bottlenecks and drive performance improvements across the stack. • Mentor and support other engineers, contributing to a strong engineering culture and continuous improvement. • Leverage modern AI-assisted development tools to accelerate delivery while maintaining high-quality standards.