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We are looking for a Lead FullStack Engineer to build reliable, scalable products. You will lead a team and tackle complex technical challenges while leveraging AI tools to enhance development quality.
Overview
We are looking for a Lead FullStack Engineer with strong backend expertise to help us build reliable, scalable, and high-quality products. You will lead a small engineering team consisting of 3 engineers and 2 QA specialists. This is a hands-on role requiring deep involvement in architecture, complex technical challenges, and production development. We expect you to actively leverage AI tools to improve engineering quality and development velocity.Responsibilities
- Design and develop scalable backend services and APIs
- Drive architecture decisions and ensure high engineering standards
- Write production-ready code and actively use AI tools to accelerate development
- Solve complex technical challenges and improve system reliability
- Lead code reviews and maintain code quality across the team
- Mentor engineers and help increase team productivity
- Collaborate closely with Product, Design, and QA teams
- Continuously improve development processes and engineering practices
Requirements
- 7+ years of software engineering experience
- Strong commercial experience with Node.js and TypeScript
- Experience designing scalable architectures and distributed systems
- Solid understanding of PostgreSQL, Redis, REST APIs, and asynchronous patterns
- Experience with Docker and CI/CD pipelines
- Experience leading engineers and driving technical decisions
- Strong hands-on approach and willingness to stay close to the code
- Experience using AI tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development
- English B2/C1
Tech Stack
- TypeScript, Node.js (NestJS), PostgreSQL, Redis, Docker, Kubernetes, GCP, gRPC, REST APIs, Web3 (ethers.js, WalletConnect)
Nice to Have
- Experience with React or Angular
- Experience with RabbitMQ, Kubernetes, and GitOps
- Experience with Web3 or blockchain products
- Experience integrating LLM APIs and AI capabilities into products
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)
Compensation
- Salary: $5000 to $7000
- 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).
