Xengineer – Backend Expertise - Wix Payments

Wix Wix · Enterprise · Kyiv, Kyiv city, Ukraine · Information Technology

Backend xEngineer role at Wix Payments focusing on designing and owning core backend systems with an AI-native focus. The role involves using AI tools for planning, design, and execution, ensuring high production standards for AI-assisted outputs. Responsibilities include backend architecture, system design, data models, APIs, and production systems, while collaborating with product managers and designers. Requires 4+ years of software engineering experience, strong system design skills, and experience integrating AI tools into the engineering workflow.

What you'd actually do

  1. Design and own end-to-end backend systems and features that impact millions of users
  2. Focus on backend architecture and system design, making thoughtful trade-offs around scalability, reliability, security, and maintainability
  3. Take full ownership from data models and APIs to production systems and distributed architectures
  4. Use AI as an integral part of your daily work—for planning, design, execution and production, while ensuring AI-assisted outputs meet the highest production standards
  5. Work with modern technologies (e.g., Java, Scala, Node.js, Cloud, and CI/CD) while continuously evolving your toolkit with AI-powered tools
  6. Collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health

Skills

Required

  • 4+ years of experience as a software engineer with strong ownership of production systems
  • Expertise in at least one core domain (e.g., frontend, backend, mobile) with the ability and motivation to operate across stack boundaries
  • Strong software and system design skills, including designing APIs, data flows, and scalable, maintainable architectures
  • Experience integrating AI tools into the engineering workflow, with the ability to evaluate, validate, and iterate on AI-generated outputs
  • End-to-end curiosity for systems, from product behavior and UX to distributed systems, deployment pipelines, and data stores
  • A mindset that values product impact, technical excellence, collaboration, and continuous growth in a fast-evolving, AI-driven environment

What the JD emphasized

  • AI-native focus
  • AI as an integral part of your daily work
  • AI-assisted outputs meet the highest production standards
  • integrating AI tools into the engineering workflow
  • AI-driven environment
  • AI-native xEngineers
  • use AI support to take ownership over projects end-to-end
  • system design, architecture, scalability, reliability, and security