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Lead C++ Software Engineer (Gameplay)

Playrix · from one of the company’s offices. · Remote · Lead · Engineering · Posted 2026-05-11 · Full Time

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About this role

About the role

To improve the quality of our products and take them to the next level, we're building an AI-first culture within our engineering teams. This means developing agentic workflows, implementing new tools, measuring gains in development speed, and paying special attention to the quality of the results. That's why we're looking for top-level engineers ready to support and develop these practices with us.

Experience in C++ and/or game development is not at all necessary—we have an excellent adaptation system that facilitates a comfortable transition for beginners from Unity and other industries.

The Lead Software Engineer drives the technical development of a product. This person leads and develops the team across architecture, quality, development culture, and engineering practices.

In each project we have the following areas: 





Responsibilities





Requirements





Nice to have

  • Confident knowledge of modern C++ 14/17 standards, as well as STL

  • Experience working with popular game engines (Unity, Unreal, Godot, Cocos2D, Defold, etc.)

  • Experience developing casual mobile games



How we work with AI:


  • AI is an engineering standard on our team, not an option. We use it daily in development—from task decomposition and codebase navigation to writing and refactoring code, etc.

  • Our engineers are always responsible for their results. Any generated code goes through the same checks as manually written code: reviews, tests, quality gates, and validation in the context of the product.

  • AI empowers our engineers—it doesn't replace them. We expect that with the help of AI, engineers will be able to move through tasks faster, take on a larger volume of work, and solve complex problems more efficiently.

  • We share practices that work within the team: good AI use cases, successful approaches, repository rules, and agentic workflows become part of the shared engineering environment.

  • We continuously improve our approach. Tools change quickly, so we expect an interest in new AI capabilities and a readiness to suggest improvements if they genuinely increase development speed and quality.






Our stack





We offer

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