FullStack Engineer
AI Summary
We are looking for a FullStack Engineer with a strong backend focus to help build and scale Enterprise products.You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications.ResponsibilitiesBuild and maintain frontend applications, widgets, partner portals, and landing pages.Design and implement backend services and APIs.Prototype new partner integrations and B2B solutions.Work closely with Product Managers and Designers from r
About this role
We are looking for a FullStack Engineer with a strong backend focus to help build and scale Enterprise products.
You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications.
Responsibilities
- Build and maintain frontend applications, widgets, partner portals, and landing pages.
- Design and implement backend services and APIs.
- Prototype new partner integrations and B2B solutions.
- Work closely with Product Managers and Designers from requirements to production.
- Own features end-to-end, including deployment and support.
- Participate in code reviews and architecture discussions.
- Actively leverage AI tools to accelerate development and increase productivity.
Requirements
Backend
- Commercial experience with Node.js and TypeScript.
- Experience building and maintaining REST APIs.
- Good understanding of PostgreSQL and Redis.
- Understanding of asynchronous patterns and message queues.
- Familiarity with JWT and OAuth2.
Frontend
- Strong JavaScript and TypeScript skills.
- Solid experience with React or Angular.
- Experience building responsive web applications.
- Experience with component-driven architecture and reusable UI patterns.
- Experience with HTML, CSS, SCSS, and modern frontend tooling (Webpack, Vite, ESLint, Prettier).
- Experience writing UI tests using Jest or similar frameworks.
Engineering Fundamentals
- Strong Git workflow and code review practices.
- Experience with CI/CD and GitLab CI.
- Docker and local development environments.
- Comfortable working with Linux and CLI tools.
- Understanding of software architecture and distributed systems concepts.
AI-First Engineering
- Experience using Cursor, GitHub Copilot, Claude Code, or similar tools.
- Experience with AI-assisted coding, debugging, and documentation.
- Understanding of prompt engineering and LLM capabilities.
- AI-first mindset and willingness to continuously learn.
Nice to Have
- Experience with Web3 or blockchain products.
- Experience integrating third-party APIs (payments, KYC providers, etc.).
- Familiarity with Kubernetes and GitOps.
- Experience integrating OpenAI, Anthropic, or other LLM APIs.
- Experience with Next.js and SSR.
Benefits
- Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
- Work-life fit: remote or hybrid format with flexible hours across international teams.
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- Recognition programs: structured performance reviews and team awards.
- Team culture: retreats in international locations (for example, company apartments in Cyprus).