Propose and own technical architecture decisions, balancing pragmatism with long-term scalability
Develop GraphQL and REST APIs and responsive front-ends using Node.js and React
Build reusable, best-practice components and shared libraries
Contribute to our multi-brand design system (Storybook) and Next.js-based web front-ends
Help scale our SaaS shared services platform (identity, billing, licensing, and more)
Own application performance and stability — monitoring error rates, reviewing system metrics, and leading the response to incidents
Lead the team's adoption of agentic engineering practices — using AI coding tools (e.g. Claude Code) not just for productivity, but to rethink how we approach complex, multi-step engineering tasks
Share learnings across the team and help establish best practices as this space evolves rapidly
Mentor junior and mid-level engineers through code reviews, pair programming, and 1:1 guidance
Foster a psychologically safe team environment where engineers can raise concerns, ask questions, and grow
Act as a constructive mediator when technical disagreements or interpersonal friction arise
Collaborate closely with product managers and other team leads to align on vision and priorities
Support and collaborate with the Siemens team on integration projects
Requirements
10+ years of experience with at least 5+ years in production web applications (full stack) and 3 years in a mentorship/leadership role
Strong Node.js skills and familiarity with the broader JS/TS ecosystem (npm, yarn, bundlers)
Experience architecting and building REST and/or GraphQL APIs
Advanced HTML, CSS, and JavaScript; strong TypeScript
Hands-on experience with React and component-based architecture
Familiarity with React frameworks such as Next.js or Gatsby
Comfortable with relational and non-relational databases (e.g. PostgreSQL, MySQL, MongoDB)
Knowledge of modern deployment practices: Docker, Kubernetes, CI/CD pipelines
Security-conscious: you think about auth, data protection, and attack surfaces as part of normal development
Experience with application performance monitoring and observability tools (e.g. Sentry for error tracking, Grafana for logs and system metrics)
Hands-on experience using AI-assisted or agentic coding tools (e.g. Claude Code, Cursor, GitHub Copilot Workspace, or similar)
Ideally, experience going beyond autocomplete — using agents for code generation, refactoring, test writing, or multi-step task automation
A natural mentor: you get genuine satisfaction from seeing junior engineers level up
A good listener: you make space for other perspectives before forming conclusions
Calm under pressure and skilled at navigating disagreements — between people or between competing technical approaches
Strong written and spoken English: you can explain complex technical ideas to both engineers and non-engineers
Experience with security and data protection standards (e.g. ISO 27001, SOC 2, GDPR)
Prior experience with high-traffic, high-availability applications.