Full Stack Developer

Summary

The Full Stack Developer will own end-to-end feature development for large-scale cloud systems using Node.js, TypeScript, and React. The role emphasizes the integration of AI-assisted development tools into the engineering workflow for coding, debugging, and research.

  • Own end-to-end feature development, including research, design, implementation, testing, deployment, and monitoring.
  • Contribute to technological and architectural decisions.
  • Develop testable, reusable, and efficient code to create high-performance applications.
  • Analyze and improve the efficiency, scalability, and stability of various components across our system.
  • Leverage AI-assisted development tools as part of the engineering workflow for coding, debugging, testing, research, and problem-solving.
  • Explore and adopt new AI capabilities and development practices that can improve engineering velocity and software quality.
  • Collaborate with Designers, Product Managers, Architects, and Software Engineers to deliver the best possible product to our customers.
  • At least 4 years of experience as a Full Stack Engineer in a product company.
  • Hands-on experience with Node.js, TypeScript, and React.
  • Experience building and maintaining large-scale cloud systems.
  • Hands-on experience with NoSQL databases.
  • Practical experience using AI-powered development tools as part of day-to-day software engineering workflows.
  • Ability to effectively use AI for tasks such as code generation and review, debugging, technical research, testing, and solution design.
  • Strong analytical and problem-solving skills.
  • Experience working in a Scrum team according to Agile principles.
  • A team player with strong communication skills, a positive attitude, and a can-do approach.
  • BSc in Computer Science, Software Engineering, or equivalent.
  • Fluent English, written and spoken.

Advantages

  • Hands-on experience with AWS.
  • Experience working extensively with Claude / Claude Code or similar advanced AI coding assistants.
  • Experience integrating LLMs or AI capabilities into engineering workflows, internal tools, or production systems.
  • Familiarity with effective prompting, context management, and AI-assisted software development best practices.

See also

Full-Stack jobs by country — openings, pay and top skills →

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