• Develop and maintain web applications and CMS solutions using Kentico Xperience and ASP.NET. • Build and extend Kentico features such as modules, page templates, widgets, and components. • Implement integrations with external systems, APIs, and services. • Add new features and improve existing applications. • Troubleshoot and resolve production issues. • Conduct code reviews and ensure code quality standards are followed. • Support system design and contribute to scalable backend architecture. • Collaborate with stakeholders to translate requirements into technical solutions. • Improve application performance, stability, and maintainability. • Maintain technical documentation. • Support ongoing maintenance of existing Kentico applications. • Follow secure coding practices and development standards. • Work within CI/CD and containerized (Docker) environments when applicable.

• Design, develop, and maintain web applications and services • Assist in troubleshooting and debugging production issues • Conduct code reviews and ensure code quality • Coach and guide junior developers • Involve in backend development of new microservices • Stay updated with emerging technologies • Work on tenant management applications • Implement APIs to support front-end teams • Assist during microservice testing and resolve QA issues • Refactor existing components and create new microservices • Write and maintain technical documentation

• Designing and building web applications and services • Developing robust APIs • Mentoring junior developers • Writing technical documentation • Driving innovation and continuous improvement • Preparing PoC for biometrics access • Completing PoC for Real-Time Service notifications • Performing peer code reviews for quality assurance

• Design, build, and evolve the Managed Services AI platform — delivering production-grade AI capabilities integrated directly into service delivery workflows • Lead the development of agentic AI solutions, including incident triage and classification, automated remediation and resolution, knowledge retrieval and summarization, and workflow orchestration and escalation • Drive use cases from concept through prototype to production, ensuring real operational adoption • Architect and integrate AI capabilities across core platforms including ITSM (ServiceNow), monitoring and observability tools, automation frameworks and runbooks, and knowledge management systems • Embed AI directly into day-to-day operational workflows — not standalone solutions — designed for multi-tenant, scalable managed services environments • Drive measurable improvements across Managed Services operations: incident deflection rates, MTTR reduction, automation and self-healing coverage, ticket volume reduction, analyst and engineer productivity, and service quality and client experience