Responsibilities
- Solution design — translate business problems into well-architected technical solutions, balancing time-to-value, scalability, and maintainability
- Project technical ownership — full accountability for the technical outcome of one or more projects in parallel
- Hands-on engineering — build full stack applications across NodeJS, Python, React/TypeScript, and AWS, staying close to the code
- AI-assisted engineering leadership — be a power user of modern AI coding tools and agentic workflows, and help the team adopt them
- Engineering standards — set and uphold standards on testing, CI/CD, observability, and IaC (AWS CDK)
- Cross-functional collaboration — work in continuous dialogue with the Value Builder, Project Managers, and partner specialists
Requirements
- 7+ years in full stack development, at least 2 in a senior/lead capacity
- Proven track record owning the technical side of projects end-to-end
- NodeJS and its main backend frameworks
- Python as a first-class backend language—for APIs, data processing, automations, and AI/ML workloads
- React and TypeScript for modern frontend development
- AWS, including IaC with AWS CDK
- Relational and non-relational databases (e.g. MySQL, DynamoDB)
- RESTful APIs and third-party integrations
- Git and modern development workflows
- Demonstrated proficiency with AI coding tools (Claude Code, Cursor, Copilot, and similar) and agentic workflows
- Ability to evaluate, guide, and improve AI-generated code—and to bring others along the same curve
- Evaluated as a core technical skill during the interview process
- Excellent communication, technical and client-facing
- Bias toward action, shipped outcomes, pragmatic trade-offs
- Good command of English, written and spoken
- Italian language proficiency is mandatory
Nice to Have
- Previous experience in a startup or consulting environment
- High-coverage automated testing experience
- Additional programming languages
- AWS or Azure certifications
- CRM, ERP, or Ecommerce integration projects
- Serverless architecture and microservices
- AI and data systems experience
