Lead QA Engineer (AI native)

Responsibilities

• Design and build the end-to-end testing pipeline for a product largely written by AI agents: pre-merge checks, nightly test runs, release and production gates;
• Define the quality strategy for AI-generated code: where risks are highest, what coverage is needed, and how to keep it sustainable at scale;
• Set up continuous automated UI testing across browsers and mobile devices, including AI-agent-driven testing; evaluate, choose and integrate external tools and services;
• Own product reliability from a technical perspective, with special focus on critical financial flows;
• Work closely with engineers and DevOps to embed quality into the development process and find the right trade-offs between speed and safety;
• Use AI agents daily to create, maintain and evolve tests and testing tooling;
• Drive quality initiatives proactively and share best practices with the team.

We expect from you

Proven experience building and owning testing processes in large, complex products with high reliability requirements, as a QA Architect, senior QA/SDET, or a senior engineer responsible for testing strategy;

Strong engineering background: understanding of system architecture, backend services, CI/CD and deployment processes;

Hands-on experience with test automation and integrating tests into CI/CD pipelines;

Daily use of AI coding agents (Claude Code, Codex, Cursor or similar) as a core part of your work, and genuine interest in AI-first development;

High autonomy and ownership: ability to take loosely defined problems, propose solutions and drive them to completion without detailed specs;

Willingness to work as a hands-on individual contributor in a small senior team.

Fluent Russian

Sounds good? Join us now!