EU remote
Senior Full Stack Engineer (Python & React)
About this role
Suvoda is seeking a skilled and driven Senior Full-Stack Software Engineer to help build and evolve a reporting web application used to view, query, download, and schedule delivery of reports. You'll own features end to end: a Python backend and a React/TypeScript frontend. What Should You Expect? Responsibilities: Backend: - Design and build backend services using Python and a modern web framework (e.g. FastAPI), exposing REST APIs consumed by the frontend and other client applications.
- Implement authentication and authorization: SSO integration, session/token handling, and role/permission-based access control. - Implement audit logging for key user actions (who/when/what/why) and change tracking across core data. - Build and maintain scheduling and background job features (e.g. cron-based schedules, retries, status tracking). - Own database schema design and changes, using a migration tool to manage schema evolution.
- Write automated backend tests and uphold code quality and linting standards as part of a test-driven workflow. Frontend: - Design and build UI features in React and TypeScript, covering configuration screens, data views, and dashboards. - Build interactive dashboards and data grids, including custom, user-configurable layouts. - Implement frontend session handling and permission-aware UI (hide/disable actions the current user isn't allowed to perform).
- Own the full request lifecycle for a feature — from API contract design, through backend implementation, to the frontend components and state management that consume it. - Write frontend component/integration tests and maintain type safety. AI Features: - Build and maintain AI-powered features (e.g. an in-app AI assistant panel, AI-driven insights/recommendations) on both the API and UI layers. - Integrate with LLM/AI services through approved, governed integrations — respecting data-handling policies (no confidential or customer data sent to non-approved services) and keeping AI output reviewable/attributable to a human rather than auto-applied.
- Use AI coding assistants (e.g. GitHub Copilot, Claude Code) as part of the day-to-day development workflow to speed up delivery while maintaining code quality and test coverage. Platform & Delivery: - Containerize and deploy services (e.g. Docker, Kubernetes/Helm) across multiple environments. - Provision and manage cloud infrastructure as code using Terraform. - Build and maintain CI/CD pipelines with GitHub Actions: automated tests, security scanning, image builds, and deployment automation.