• Build software that helps life science teams bring life-saving products to market • Participate in or lead projects within the product development efforts • Take ownership of key components within the platform • Envision, design, create, build, and support these components • Join and lead discussions around various platform initiatives • Troubleshoot and maintain high quality and low bug count in core products

• Develop and ship user-facing features with React and TypeScript • Build responsive UIs and collaborate closely with designers • Integrate frontend applications with backend services • Develop and maintain services using Node.js • Design and optimize database schemas and queries • Build and own microservices and REST APIs • Implement and optimize REST API Gateway, GraphQL • Work closely with the DevOps team to manage backend services on AWS • Provide technical guidance and mentorship to junior developers

• Solve high-impact problems across CKEditor and CKSource products, spotting where AI or automation can add value. • Work with product and engineering stakeholders to clarify goals, scope, and success metrics. • Design pragmatic end-to-end solutions across the editor, backend services, and other portfolio products. • Prototype quickly, iterate with feedback, and evolve the best ideas into production features. • Build integrations and platform patterns (APIs, workflows, ecosystems) that extend product capabilities. • Influence technical direction and best practices across teams, helping others adopt new tools effectively. • Drive adoption of AI-assisted development (agents, reviews, testing, ops) to improve how we build and ship software.

• Lead and mentor a team of software engineers, setting technical standards and best practices • Architect and deliver scalable cloud systems using Infrastructure as Code (Terraform) • Design and implement full-stack features leveraging TypeScript (Node.js/React or similar) and C# (.NET) • Own end-to-end DevOps pipelines — CI/CD, monitoring, infrastructure automation, and reliability • Integrate AI engineering capabilities into products (LLM integration, generative AI features, AI agents, RAG pipelines, etc.) • Collaborate with product and cross-functional teams to translate business needs into technical solutions • Conduct code reviews, architectural reviews, and drive continuous improvement in code quality, performance, and security • Champion cloud best practices, cost optimization, and platform modernization initiatives